Upload folder using huggingface_hub
Browse files- config.json +29 -0
- eval_results.txt +1800 -0
- pytorch_model.bin +3 -0
- vocab.txt +0 -0
config.json
ADDED
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{
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"cell": {},
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"classifier_dropout": null,
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"dtype": "float32",
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"emb_size": 312,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 312,
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"initializer_range": 0.02,
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"intermediate_size": 1200,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 4,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"pre_trained": "",
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"structure": [],
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"training": "",
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"transformers_version": "4.57.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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eval_results.txt
ADDED
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@@ -0,0 +1,1800 @@
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| 1 |
+
att_loss = 1.414105697553985
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| 2 |
+
cls_loss = 0.0
|
| 3 |
+
corr = -0.7120556974066526
|
| 4 |
+
eval_loss = 7.871645628137792
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| 5 |
+
global_step = 49
|
| 6 |
+
loss = 2.966355849285515
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| 7 |
+
pearson = -0.7021117
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| 8 |
+
rep_loss = 1.5522501468658447
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| 9 |
+
spearmanr = -0.7219996737744869
|
| 10 |
+
att_loss = 1.3245202068126563
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| 11 |
+
cls_loss = 0.0
|
| 12 |
+
corr = -0.34613850356814824
|
| 13 |
+
eval_loss = 7.878775322690923
|
| 14 |
+
global_step = 99
|
| 15 |
+
loss = 2.6166311153257737
|
| 16 |
+
pearson = -0.35230684
|
| 17 |
+
rep_loss = 1.2921108994821104
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| 18 |
+
spearmanr = -0.33997016433234134
|
| 19 |
+
att_loss = 1.2837556452559145
|
| 20 |
+
cls_loss = 0.0
|
| 21 |
+
corr = -0.5394193595390009
|
| 22 |
+
eval_loss = 7.883238528637176
|
| 23 |
+
global_step = 149
|
| 24 |
+
loss = 2.4514620576128863
|
| 25 |
+
pearson = -0.52815175
|
| 26 |
+
rep_loss = 1.1677063975558184
|
| 27 |
+
spearmanr = -0.5506869685134265
|
| 28 |
+
att_loss = 1.2498102221057643
|
| 29 |
+
cls_loss = 0.0
|
| 30 |
+
corr = -0.5927565679963669
|
| 31 |
+
eval_loss = 7.88423955694158
|
| 32 |
+
global_step = 199
|
| 33 |
+
loss = 2.3392583383387655
|
| 34 |
+
pearson = -0.57907695
|
| 35 |
+
rep_loss = 1.0894481060492933
|
| 36 |
+
spearmanr = -0.6064361902110259
|
| 37 |
+
att_loss = 1.2256089144921207
|
| 38 |
+
cls_loss = 0.0
|
| 39 |
+
corr = -0.5820985788989587
|
| 40 |
+
eval_loss = 7.882977932057482
|
| 41 |
+
global_step = 249
|
| 42 |
+
loss = 2.261102398715345
|
| 43 |
+
pearson = -0.5715746
|
| 44 |
+
rep_loss = 1.0354934763238133
|
| 45 |
+
spearmanr = -0.5926225294447984
|
| 46 |
+
att_loss = 1.205977644210675
|
| 47 |
+
cls_loss = 0.0
|
| 48 |
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corr = -0.6317629266581356
|
| 49 |
+
eval_loss = 7.879981467064391
|
| 50 |
+
global_step = 299
|
| 51 |
+
loss = 2.2006009414443204
|
| 52 |
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pearson = -0.62207097
|
| 53 |
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rep_loss = 0.9946232912532462
|
| 54 |
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spearmanr = -0.6414548851651787
|
| 55 |
+
att_loss = 1.1914106957550377
|
| 56 |
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cls_loss = 0.0
|
| 57 |
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corr = -0.6929623919053678
|
| 58 |
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eval_loss = 7.8729996224667165
|
| 59 |
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global_step = 349
|
| 60 |
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loss = 2.15488205017538
|
| 61 |
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pearson = -0.682248
|
| 62 |
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rep_loss = 0.9634713477596513
|
| 63 |
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spearmanr = -0.7036767874804742
|
| 64 |
+
att_loss = 1.1793720438366844
|
| 65 |
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cls_loss = 0.0
|
| 66 |
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corr = -0.7508425436562455
|
| 67 |
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eval_loss = 7.872448287111648
|
| 68 |
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global_step = 399
|
| 69 |
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loss = 2.1173082070243088
|
| 70 |
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pearson = -0.7439685
|
| 71 |
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rep_loss = 0.9379361584073022
|
| 72 |
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spearmanr = -0.7577166005266023
|
| 73 |
+
att_loss = 1.1716016516388126
|
| 74 |
+
cls_loss = 0.0
|
| 75 |
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corr = -0.743020561369715
|
| 76 |
+
eval_loss = 7.864830417835966
|
| 77 |
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global_step = 449
|
| 78 |
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loss = 2.088755071561427
|
| 79 |
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pearson = -0.73914754
|
| 80 |
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rep_loss = 0.9171534172676188
|
| 81 |
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spearmanr = -0.7468935788322645
|
| 82 |
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att_loss = 1.1626731672124537
|
| 83 |
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cls_loss = 0.0
|
| 84 |
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corr = -0.7658389994024382
|
| 85 |
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eval_loss = 7.869499054360897
|
| 86 |
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global_step = 499
|
| 87 |
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loss = 2.061823369028095
|
| 88 |
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pearson = -0.7621877
|
| 89 |
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rep_loss = 0.8991502001433669
|
| 90 |
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spearmanr = -0.7694902794597835
|
| 91 |
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att_loss = 1.1566915252603902
|
| 92 |
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cls_loss = 0.0
|
| 93 |
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corr = -0.7637813143967938
|
| 94 |
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eval_loss = 7.865142949084018
|
| 95 |
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global_step = 549
|
| 96 |
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loss = 2.04049031764866
|
| 97 |
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pearson = -0.76346326
|
| 98 |
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rep_loss = 0.8837987917368529
|
| 99 |
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spearmanr = -0.7640993700503013
|
| 100 |
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att_loss = 1.149391971864366
|
| 101 |
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cls_loss = 0.0
|
| 102 |
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corr = -0.7818313609674943
|
| 103 |
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eval_loss = 7.867546573598334
|
| 104 |
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global_step = 599
|
| 105 |
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loss = 2.0194130180674126
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| 106 |
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pearson = -0.7812994
|
| 107 |
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rep_loss = 0.8700210449094565
|
| 108 |
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spearmanr = -0.7823633096844697
|
| 109 |
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att_loss = 1.1429131560039079
|
| 110 |
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cls_loss = 0.0
|
| 111 |
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corr = -0.7795568317462074
|
| 112 |
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eval_loss = 7.866350929787818
|
| 113 |
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global_step = 649
|
| 114 |
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loss = 2.0008234266874787
|
| 115 |
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pearson = -0.7790793
|
| 116 |
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rep_loss = 0.8579102695814818
|
| 117 |
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spearmanr = -0.7800343454458448
|
| 118 |
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att_loss = 1.1391734617291942
|
| 119 |
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cls_loss = 0.0
|
| 120 |
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corr = -0.7845577183895454
|
| 121 |
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eval_loss = 7.863241753679641
|
| 122 |
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global_step = 699
|
| 123 |
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loss = 1.9866492840353511
|
| 124 |
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pearson = -0.7852826
|
| 125 |
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rep_loss = 0.8474758207712733
|
| 126 |
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spearmanr = -0.783832824932167
|
| 127 |
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att_loss = 1.1339479834438166
|
| 128 |
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cls_loss = 0.0
|
| 129 |
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corr = -0.7842446690437715
|
| 130 |
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eval_loss = 7.866590317259443
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| 131 |
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global_step = 749
|
| 132 |
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loss = 1.9717725550380345
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| 133 |
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pearson = -0.7862314
|
| 134 |
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rep_loss = 0.8378245700026387
|
| 135 |
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spearmanr = -0.7822579395050846
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| 136 |
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att_loss = 1.129375727663052
|
| 137 |
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cls_loss = 0.0
|
| 138 |
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corr = -0.7944082167243829
|
| 139 |
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eval_loss = 7.864982046979539
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| 140 |
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global_step = 799
|
| 141 |
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loss = 1.9584434020504338
|
| 142 |
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pearson = -0.79601717
|
| 143 |
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rep_loss = 0.8290676733429948
|
| 144 |
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spearmanr = -0.7927992634963733
|
| 145 |
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att_loss = 1.1261586428250245
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| 146 |
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cls_loss = 0.0
|
| 147 |
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corr = -0.7852871502676035
|
| 148 |
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eval_loss = 7.866547625115577
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| 149 |
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global_step = 849
|
| 150 |
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loss = 1.9474541396780205
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| 151 |
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pearson = -0.78789914
|
| 152 |
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rep_loss = 0.8212954956594991
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| 153 |
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spearmanr = -0.7826751639919332
|
| 154 |
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att_loss = 1.1195056376786068
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| 155 |
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cls_loss = 0.0
|
| 156 |
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corr = -0.7836739825420568
|
| 157 |
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eval_loss = 7.862857250457115
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| 158 |
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global_step = 899
|
| 159 |
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loss = 1.9329821773047442
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| 160 |
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pearson = -0.7870176
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| 161 |
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rep_loss = 0.813476539095729
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| 162 |
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spearmanr = -0.7803303812370677
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| 163 |
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att_loss = 1.115114856507429
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| 164 |
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cls_loss = 0.0
|
| 165 |
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corr = -0.8100166682388561
|
| 166 |
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eval_loss = 7.8705803333444795
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| 167 |
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global_step = 949
|
| 168 |
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loss = 1.9216353474979782
|
| 169 |
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pearson = -0.81195295
|
| 170 |
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rep_loss = 0.8065204903624709
|
| 171 |
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spearmanr = -0.8080803879074608
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| 172 |
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att_loss = 1.113088802413062
|
| 173 |
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cls_loss = 0.0
|
| 174 |
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corr = -0.7941323088335128
|
| 175 |
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eval_loss = 7.864834161514931
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| 176 |
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global_step = 999
|
| 177 |
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loss = 1.9135917804620646
|
| 178 |
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pearson = -0.7962261
|
| 179 |
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rep_loss = 0.8005029774523593
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| 180 |
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spearmanr = -0.7920385334346952
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| 181 |
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att_loss = 1.1102725649243657
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| 182 |
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cls_loss = 0.0
|
| 183 |
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corr = -0.7982269286024918
|
| 184 |
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eval_loss = 7.870229548596321
|
| 185 |
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global_step = 1049
|
| 186 |
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loss = 1.9050765809158239
|
| 187 |
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pearson = -0.8007125
|
| 188 |
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rep_loss = 0.794804015707356
|
| 189 |
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spearmanr = -0.7957413313604096
|
| 190 |
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att_loss = 1.1093931435128577
|
| 191 |
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cls_loss = 0.0
|
| 192 |
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corr = -0.8091519939397146
|
| 193 |
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eval_loss = 7.871903794877072
|
| 194 |
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global_step = 1099
|
| 195 |
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loss = 1.8990773951822895
|
| 196 |
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pearson = -0.8110949
|
| 197 |
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rep_loss = 0.7896842519406083
|
| 198 |
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spearmanr = -0.8072091077753643
|
| 199 |
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att_loss = 1.1051809027259303
|
| 200 |
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cls_loss = 0.0
|
| 201 |
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corr = -0.8081046435488566
|
| 202 |
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eval_loss = 7.867210104110393
|
| 203 |
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global_step = 1149
|
| 204 |
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loss = 1.8893513274877562
|
| 205 |
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pearson = -0.81045175
|
| 206 |
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rep_loss = 0.7841704247618261
|
| 207 |
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spearmanr = -0.8057575411107748
|
| 208 |
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att_loss = 1.1022101864405132
|
| 209 |
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cls_loss = 0.0
|
| 210 |
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corr = -0.8026705149106161
|
| 211 |
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eval_loss = 7.866117649890007
|
| 212 |
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global_step = 1199
|
| 213 |
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loss = 1.881349309669921
|
| 214 |
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pearson = -0.8055594
|
| 215 |
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rep_loss = 0.7791391235276796
|
| 216 |
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spearmanr = -0.7997816330774579
|
| 217 |
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att_loss = 1.0997085528816577
|
| 218 |
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cls_loss = 0.0
|
| 219 |
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corr = -0.806811658950712
|
| 220 |
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eval_loss = 7.864325680631272
|
| 221 |
+
global_step = 1249
|
| 222 |
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loss = 1.8742054448879844
|
| 223 |
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pearson = -0.80862504
|
| 224 |
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rep_loss = 0.7744968920540485
|
| 225 |
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spearmanr = -0.804998275462917
|
| 226 |
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att_loss = 1.0979002227775863
|
| 227 |
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cls_loss = 0.0
|
| 228 |
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corr = -0.8161362436537036
|
| 229 |
+
eval_loss = 7.8741132299950785
|
| 230 |
+
global_step = 1299
|
| 231 |
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loss = 1.8680870064044568
|
| 232 |
+
pearson = -0.81844413
|
| 233 |
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rep_loss = 0.7701867837645257
|
| 234 |
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spearmanr = -0.8138283545025365
|
| 235 |
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att_loss = 1.0965620738387196
|
| 236 |
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cls_loss = 0.0
|
| 237 |
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corr = -0.8121116003310033
|
| 238 |
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eval_loss = 7.870344212714662
|
| 239 |
+
global_step = 1349
|
| 240 |
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loss = 1.8627850426135901
|
| 241 |
+
pearson = -0.8143221
|
| 242 |
+
rep_loss = 0.7662229687306862
|
| 243 |
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spearmanr = -0.8099010866712228
|
| 244 |
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att_loss = 1.0944924013711794
|
| 245 |
+
cls_loss = 0.0
|
| 246 |
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corr = -0.8074390099149265
|
| 247 |
+
eval_loss = 7.868506517816098
|
| 248 |
+
global_step = 1399
|
| 249 |
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loss = 1.8568243516863372
|
| 250 |
+
pearson = -0.80981034
|
| 251 |
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rep_loss = 0.7623319502725526
|
| 252 |
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spearmanr = -0.8050676794253425
|
| 253 |
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att_loss = 1.092462229967282
|
| 254 |
+
cls_loss = 0.0
|
| 255 |
+
corr = -0.8179613320455663
|
| 256 |
+
eval_loss = 7.874386127958906
|
| 257 |
+
global_step = 1449
|
| 258 |
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loss = 1.8510629093342603
|
| 259 |
+
pearson = -0.81992733
|
| 260 |
+
rep_loss = 0.7586006790790334
|
| 261 |
+
spearmanr = -0.8159953293056713
|
| 262 |
+
att_loss = 1.0896662432722761
|
| 263 |
+
cls_loss = 0.0
|
| 264 |
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corr = -0.8148499288877086
|
| 265 |
+
eval_loss = 7.8720002580196295
|
| 266 |
+
global_step = 1499
|
| 267 |
+
loss = 1.84468186959336
|
| 268 |
+
pearson = -0.8167956
|
| 269 |
+
rep_loss = 0.7550156257246398
|
| 270 |
+
spearmanr = -0.8129042702357443
|
| 271 |
+
att_loss = 1.0871028295249767
|
| 272 |
+
cls_loss = 0.0
|
| 273 |
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corr = -0.8190089724114045
|
| 274 |
+
eval_loss = 7.873269471716373
|
| 275 |
+
global_step = 1549
|
| 276 |
+
loss = 1.8386775398346744
|
| 277 |
+
pearson = -0.82081735
|
| 278 |
+
rep_loss = 0.7515747097709857
|
| 279 |
+
spearmanr = -0.8172005934815614
|
| 280 |
+
att_loss = 1.085569411236618
|
| 281 |
+
cls_loss = 0.0
|
| 282 |
+
corr = -0.8139192903858073
|
| 283 |
+
eval_loss = 7.873567616685908
|
| 284 |
+
global_step = 1599
|
| 285 |
+
loss = 1.8340055330460185
|
| 286 |
+
pearson = -0.81590545
|
| 287 |
+
rep_loss = 0.7484361211757051
|
| 288 |
+
spearmanr = -0.8119331289970175
|
| 289 |
+
att_loss = 1.0842588636425496
|
| 290 |
+
cls_loss = 0.0
|
| 291 |
+
corr = -0.8006031477869094
|
| 292 |
+
eval_loss = 7.870225378807555
|
| 293 |
+
global_step = 1649
|
| 294 |
+
loss = 1.8296292480228162
|
| 295 |
+
pearson = -0.80262446
|
| 296 |
+
rep_loss = 0.7453703837657857
|
| 297 |
+
spearmanr = -0.7985818315387847
|
| 298 |
+
att_loss = 1.082578887583018
|
| 299 |
+
cls_loss = 0.0
|
| 300 |
+
corr = -0.8057107254098838
|
| 301 |
+
eval_loss = 7.872520269231593
|
| 302 |
+
global_step = 1699
|
| 303 |
+
loss = 1.825013230659458
|
| 304 |
+
pearson = -0.8078559
|
| 305 |
+
rep_loss = 0.7424343424800426
|
| 306 |
+
spearmanr = -0.8035655467174421
|
| 307 |
+
att_loss = 1.0816806395984908
|
| 308 |
+
cls_loss = 0.0
|
| 309 |
+
corr = -0.8126248019570648
|
| 310 |
+
eval_loss = 7.8758349266458065
|
| 311 |
+
global_step = 1749
|
| 312 |
+
loss = 1.8214124734910166
|
| 313 |
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pearson = -0.8143159
|
| 314 |
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rep_loss = 0.7397318332450195
|
| 315 |
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spearmanr = -0.8109336888064024
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| 316 |
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att_loss = 1.0799327665994802
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| 317 |
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cls_loss = 0.0
|
| 318 |
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corr = -0.7998865858266437
|
| 319 |
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eval_loss = 7.87010054892682
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| 320 |
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global_step = 1799
|
| 321 |
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loss = 1.8169356923821636
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| 322 |
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pearson = -0.8021824
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| 323 |
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rep_loss = 0.7370029249212489
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| 324 |
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spearmanr = -0.7975907952685525
|
| 325 |
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att_loss = 1.0785115050779541
|
| 326 |
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cls_loss = 0.0
|
| 327 |
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corr = -0.8110831385730148
|
| 328 |
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eval_loss = 7.875671990374301
|
| 329 |
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global_step = 1849
|
| 330 |
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loss = 1.8128705294858192
|
| 331 |
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pearson = -0.81238854
|
| 332 |
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rep_loss = 0.7343590234730165
|
| 333 |
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spearmanr = -0.8097777378317598
|
| 334 |
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att_loss = 1.0762949306880756
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| 335 |
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cls_loss = 0.0
|
| 336 |
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corr = -0.8112441640011406
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| 337 |
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eval_loss = 7.875111458149362
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| 338 |
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global_step = 1899
|
| 339 |
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loss = 1.8079739335714484
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| 340 |
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pearson = -0.8130497
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| 341 |
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rep_loss = 0.7316790018789765
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| 342 |
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spearmanr = -0.8094386539681626
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| 343 |
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att_loss = 1.0753825102297694
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| 344 |
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cls_loss = 0.0
|
| 345 |
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corr = -0.8223807393555641
|
| 346 |
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eval_loss = 7.882462841399173
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| 347 |
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global_step = 1949
|
| 348 |
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loss = 1.8047318762543876
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| 349 |
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pearson = -0.8224758
|
| 350 |
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rep_loss = 0.7293493648624958
|
| 351 |
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spearmanr = -0.8222856877336502
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| 352 |
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att_loss = 1.073538847301172
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| 353 |
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cls_loss = 0.0
|
| 354 |
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corr = -0.8174039709455878
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| 355 |
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eval_loss = 7.876885434414478
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| 356 |
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global_step = 1999
|
| 357 |
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loss = 1.8004831157367547
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| 358 |
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pearson = -0.81872714
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| 359 |
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rep_loss = 0.7269442674814313
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| 360 |
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spearmanr = -0.8160808062329113
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| 361 |
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att_loss = 1.0723359731129172
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| 362 |
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cls_loss = 0.0
|
| 363 |
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corr = -0.8047000280754028
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| 364 |
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eval_loss = 7.876802977095259
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| 365 |
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global_step = 2049
|
| 366 |
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loss = 1.7970207201206958
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| 367 |
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pearson = -0.8064692
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| 368 |
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rep_loss = 0.7246847460769106
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| 369 |
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spearmanr = -0.8029308541091795
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| 370 |
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att_loss = 1.070559160177795
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| 371 |
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cls_loss = 0.0
|
| 372 |
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corr = -0.8054654417311344
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| 373 |
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eval_loss = 7.872506024989676
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| 374 |
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global_step = 2099
|
| 375 |
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loss = 1.7930161266908469
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| 376 |
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pearson = -0.8076718
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| 377 |
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rep_loss = 0.7224569657179445
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| 378 |
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spearmanr = -0.8032590981076545
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| 379 |
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att_loss = 1.069754152422231
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| 380 |
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cls_loss = 0.0
|
| 381 |
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corr = -0.8123781354155668
|
| 382 |
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eval_loss = 7.877158586015093
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| 383 |
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global_step = 2149
|
| 384 |
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loss = 1.7901146501760363
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| 385 |
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pearson = -0.81380415
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| 386 |
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rep_loss = 0.7203604970881416
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| 387 |
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spearmanr = -0.810952121203448
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| 388 |
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att_loss = 1.06773140697167
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| 389 |
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cls_loss = 0.0
|
| 390 |
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corr = -0.8242215058392199
|
| 391 |
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eval_loss = 7.881230257927103
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| 392 |
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global_step = 2199
|
| 393 |
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loss = 1.7858511802552774
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| 394 |
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pearson = -0.82487047
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| 395 |
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rep_loss = 0.7181197726872901
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| 396 |
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spearmanr = -0.8235725444924659
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| 397 |
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att_loss = 1.0661458519629872
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| 398 |
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cls_loss = 0.0
|
| 399 |
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corr = -0.8231465171338129
|
| 400 |
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eval_loss = 7.881767638186191
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| 401 |
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global_step = 2249
|
| 402 |
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loss = 1.7821991995420918
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| 403 |
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pearson = -0.82305145
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| 404 |
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rep_loss = 0.7160533470225472
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| 405 |
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spearmanr = -0.8232415816309071
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| 406 |
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att_loss = 1.0640965260957416
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| 407 |
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cls_loss = 0.0
|
| 408 |
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corr = -0.814157079250927
|
| 409 |
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eval_loss = 7.8755309835393374
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| 410 |
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global_step = 2299
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| 411 |
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loss = 1.7780907828167969
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| 412 |
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pearson = -0.81508386
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| 413 |
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rep_loss = 0.7139942562025285
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| 414 |
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spearmanr = -0.8132302971508406
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| 415 |
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att_loss = 1.0631604585408048
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| 416 |
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cls_loss = 0.0
|
| 417 |
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corr = -0.8250579001652834
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| 418 |
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eval_loss = 7.884011349779494
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| 419 |
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global_step = 2349
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| 420 |
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loss = 1.775278600544156
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| 421 |
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pearson = -0.8249897
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| 422 |
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rep_loss = 0.7121181417496065
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| 423 |
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spearmanr = -0.8251261238550417
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| 424 |
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att_loss = 1.062495189987157
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| 425 |
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cls_loss = 0.0
|
| 426 |
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corr = -0.8215341668725491
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| 427 |
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eval_loss = 7.883477774072201
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| 428 |
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global_step = 2399
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| 429 |
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| 430 |
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pearson = -0.82185125
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| 431 |
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rep_loss = 0.7103094051111832
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| 432 |
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spearmanr = -0.8212170802355767
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| 433 |
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att_loss = 1.0613012493703258
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| 434 |
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cls_loss = 0.0
|
| 435 |
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corr = -0.8066356413822595
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| 436 |
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eval_loss = 7.87079060331304
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| 437 |
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global_step = 2449
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| 438 |
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loss = 1.7698146538522206
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| 439 |
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pearson = -0.80822396
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| 440 |
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rep_loss = 0.7085134043845414
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| 441 |
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spearmanr = -0.8050473199807054
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| 442 |
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att_loss = 1.0603122895075923
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| 443 |
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cls_loss = 0.0
|
| 444 |
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corr = -0.8234437077655569
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| 445 |
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eval_loss = 7.884356442918169
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| 446 |
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global_step = 2499
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| 447 |
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loss = 1.7670949233346294
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| 448 |
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pearson = -0.82344097
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| 449 |
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rep_loss = 0.7067826337554828
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| 450 |
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spearmanr = -0.8234464465407878
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| 451 |
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att_loss = 1.0594582516757027
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| 452 |
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cls_loss = 0.0
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| 453 |
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corr = -0.8174970965102512
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| 454 |
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eval_loss = 7.876226876644378
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| 455 |
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global_step = 2549
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| 456 |
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loss = 1.7645765687026618
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| 457 |
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pearson = -0.8182271
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| 458 |
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rep_loss = 0.7051183167931238
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| 459 |
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spearmanr = -0.8167670807272589
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| 460 |
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att_loss = 1.0584122399588465
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| 461 |
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cls_loss = 0.0
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| 462 |
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corr = -0.8141705038043998
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| 463 |
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eval_loss = 7.882807041736359
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| 464 |
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global_step = 2599
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| 465 |
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loss = 1.761929411115716
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| 466 |
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pearson = -0.81514615
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| 467 |
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rep_loss = 0.7035171709045991
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| 468 |
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spearmanr = -0.8131948594039962
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| 469 |
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att_loss = 1.0571662729620799
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| 470 |
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cls_loss = 0.0
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| 471 |
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corr = -0.8139846970225824
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| 472 |
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eval_loss = 7.880855742921221
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| 473 |
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global_step = 2649
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| 474 |
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loss = 1.7590563239669657
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| 475 |
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pearson = -0.814289
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| 476 |
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rep_loss = 0.7018900509373833
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| 477 |
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spearmanr = -0.813680420236876
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| 478 |
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att_loss = 1.0564049815371903
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| 479 |
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cls_loss = 0.0
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| 480 |
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corr = -0.8197673549599325
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| 481 |
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eval_loss = 7.885797353501015
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| 482 |
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global_step = 2699
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| 483 |
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loss = 1.7567696011300526
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| 484 |
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pearson = -0.820241
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| 485 |
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rep_loss = 0.7003646194824426
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| 486 |
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spearmanr = -0.8192937354935954
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| 487 |
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att_loss = 1.0557419812085196
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| 488 |
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cls_loss = 0.0
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| 489 |
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corr = -0.8134596522809937
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| 490 |
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eval_loss = 7.882055389120223
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| 491 |
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global_step = 2749
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| 492 |
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loss = 1.7545921669391424
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| 493 |
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pearson = -0.8142993
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| 494 |
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rep_loss = 0.698850185730623
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| 495 |
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spearmanr = -0.8126200191501527
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| 496 |
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att_loss = 1.0545938554172987
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| 497 |
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cls_loss = 0.0
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| 498 |
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corr = -0.809406930743118
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| 499 |
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eval_loss = 7.879966553221357
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| 500 |
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global_step = 2799
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| 501 |
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loss = 1.7519124819577359
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| 502 |
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pearson = -0.81026864
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| 503 |
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rep_loss = 0.697318626710797
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| 504 |
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spearmanr = -0.8085452209680475
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| 505 |
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att_loss = 1.0526666651695977
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| 506 |
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cls_loss = 0.0
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| 507 |
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corr = -0.8158018407369341
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| 508 |
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eval_loss = 7.887182976337189
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| 509 |
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global_step = 2849
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| 510 |
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loss = 1.7483364060787872
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| 511 |
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pearson = -0.8160634
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| 512 |
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rep_loss = 0.6956697412230082
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| 513 |
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spearmanr = -0.8155402773906161
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| 514 |
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att_loss = 1.051476536351428
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| 515 |
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cls_loss = 0.0
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| 516 |
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corr = -0.8080464003257689
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| 517 |
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eval_loss = 7.880676974641516
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| 518 |
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global_step = 2899
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| 519 |
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loss = 1.7456578521244934
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| 520 |
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pearson = -0.809114
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| 521 |
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rep_loss = 0.6941813160609114
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| 522 |
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spearmanr = -0.8069788213119382
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| 523 |
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att_loss = 1.0503524521238807
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| 524 |
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cls_loss = 0.0
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| 525 |
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corr = -0.8018346306422611
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| 526 |
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eval_loss = 7.875624032730752
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| 527 |
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global_step = 2949
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| 528 |
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loss = 1.7431152673364292
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| 529 |
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pearson = -0.80322313
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| 530 |
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rep_loss = 0.6927628153540313
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| 531 |
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spearmanr = -0.800446128197364
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| 532 |
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att_loss = 1.049732724838791
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| 533 |
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cls_loss = 0.0
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| 534 |
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corr = -0.816953312069082
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| 535 |
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eval_loss = 7.8860058936666935
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| 536 |
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global_step = 2999
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| 537 |
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loss = 1.7411504766073733
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| 538 |
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pearson = -0.8171844
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| 539 |
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rep_loss = 0.691417751907706
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| 540 |
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spearmanr = -0.8167222355006211
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| 541 |
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att_loss = 1.0492967558751618
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| 542 |
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cls_loss = 0.0
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| 543 |
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corr = -0.815281067986533
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| 544 |
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eval_loss = 7.883568768805646
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| 545 |
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global_step = 3049
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| 546 |
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loss = 1.73946177060192
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| 547 |
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pearson = -0.816041
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| 548 |
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rep_loss = 0.6901650149026985
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| 549 |
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spearmanr = -0.8145211432362495
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| 550 |
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att_loss = 1.0481989793755924
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| 551 |
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cls_loss = 0.0
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| 552 |
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corr = -0.8089104615251914
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| 553 |
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eval_loss = 7.882009709135015
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| 554 |
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global_step = 3099
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| 555 |
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loss = 1.7370228261169058
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| 556 |
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pearson = -0.81002665
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| 557 |
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rep_loss = 0.6888238469913491
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| 558 |
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spearmanr = -0.8077942773899826
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| 559 |
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att_loss = 1.0471954750386296
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| 560 |
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cls_loss = 0.0
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| 561 |
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corr = -0.8154769310743394
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| 562 |
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eval_loss = 7.88641842882684
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| 563 |
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global_step = 3149
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| 564 |
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loss = 1.734704951249671
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| 565 |
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pearson = -0.8162576
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| 566 |
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rep_loss = 0.6875094764003227
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| 567 |
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spearmanr = -0.8146962661327486
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| 568 |
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att_loss = 1.0466994443287063
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| 569 |
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cls_loss = 0.0
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| 570 |
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corr = -0.819094012617823
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| 571 |
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eval_loss = 7.885064013460849
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| 572 |
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global_step = 3199
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| 573 |
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loss = 1.7330617883422295
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| 574 |
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pearson = -0.8196287
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| 575 |
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rep_loss = 0.6863623442743748
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| 576 |
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spearmanr = -0.8185593097205092
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| 577 |
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att_loss = 1.046039183329127
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| 578 |
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cls_loss = 0.0
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| 579 |
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corr = -0.8080040352034012
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| 580 |
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eval_loss = 7.88094820367529
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| 581 |
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global_step = 3249
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| 582 |
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loss = 1.7311869121837997
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| 583 |
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pearson = -0.80905646
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| 584 |
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rep_loss = 0.6851477291482013
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| 585 |
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spearmanr = -0.806951609549411
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| 586 |
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att_loss = 1.0450866620589039
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| 587 |
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cls_loss = 0.0
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| 588 |
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corr = -0.8086224937373483
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| 589 |
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eval_loss = 7.8865426296883445
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| 590 |
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global_step = 3299
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| 591 |
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loss = 1.7289840932252298
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| 592 |
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pearson = -0.8095706
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| 593 |
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rep_loss = 0.6838974315818782
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| 594 |
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spearmanr = -0.8076743769514726
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| 595 |
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att_loss = 1.0435312260225944
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| 596 |
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cls_loss = 0.0
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| 597 |
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corr = -0.8159876579972278
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| 598 |
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eval_loss = 7.88942824526036
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| 599 |
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global_step = 3349
|
| 600 |
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loss = 1.726112789878492
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| 601 |
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pearson = -0.8166976
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| 602 |
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rep_loss = 0.6825815642652457
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| 603 |
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spearmanr = -0.8152777184907937
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| 604 |
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att_loss = 1.042735756811376
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| 605 |
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cls_loss = 0.0
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| 606 |
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corr = -0.8218309586751001
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| 607 |
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eval_loss = 7.883986478156232
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| 608 |
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global_step = 3399
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| 609 |
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loss = 1.7241498520178598
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| 610 |
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pearson = -0.82193863
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| 611 |
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rep_loss = 0.6814140956098103
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| 612 |
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spearmanr = -0.8217232834314381
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| 613 |
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att_loss = 1.0415826975590736
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| 614 |
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cls_loss = 0.0
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| 615 |
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corr = -0.8125676171113365
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| 616 |
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eval_loss = 7.887596434735237
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| 617 |
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global_step = 3449
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| 618 |
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loss = 1.7218073440932231
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| 619 |
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pearson = -0.8137158
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| 620 |
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rep_loss = 0.6802246470871647
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| 621 |
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spearmanr = -0.8114194186785445
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| 622 |
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att_loss = 1.0404920040556076
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| 623 |
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cls_loss = 0.0
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| 624 |
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corr = -0.8139563502468279
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| 625 |
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eval_loss = 7.889642233544207
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| 626 |
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global_step = 3499
|
| 627 |
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loss = 1.719559226352237
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| 628 |
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pearson = -0.8146056
|
| 629 |
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rep_loss = 0.6790672227224986
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| 630 |
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spearmanr = -0.8133071068123204
|
| 631 |
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att_loss = 1.0399040257840064
|
| 632 |
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cls_loss = 0.0
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| 633 |
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corr = -0.8089423045750864
|
| 634 |
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eval_loss = 7.880696854692824
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| 635 |
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global_step = 3549
|
| 636 |
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loss = 1.7179148159217887
|
| 637 |
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pearson = -0.8101596
|
| 638 |
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rep_loss = 0.678010790540857
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| 639 |
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spearmanr = -0.8077249855272786
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| 640 |
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att_loss = 1.0390188165855725
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| 641 |
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cls_loss = 0.0
|
| 642 |
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corr = -0.817086178536287
|
| 643 |
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eval_loss = 7.889208692185422
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| 644 |
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global_step = 3599
|
| 645 |
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loss = 1.7159292635966685
|
| 646 |
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pearson = -0.8174186
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| 647 |
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rep_loss = 0.6769104474748164
|
| 648 |
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spearmanr = -0.8167537817857087
|
| 649 |
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att_loss = 1.0385827614562615
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| 650 |
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cls_loss = 0.0
|
| 651 |
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corr = -0.8175454155240675
|
| 652 |
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eval_loss = 7.883418083190918
|
| 653 |
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global_step = 3649
|
| 654 |
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loss = 1.7144761452710149
|
| 655 |
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pearson = -0.8180646
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| 656 |
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rep_loss = 0.6758933840761057
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| 657 |
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spearmanr = -0.817026260621194
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| 658 |
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att_loss = 1.0376513326738486
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| 659 |
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cls_loss = 0.0
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| 660 |
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corr = -0.8073031569656517
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| 661 |
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eval_loss = 7.889825440467672
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| 662 |
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global_step = 3699
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| 663 |
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loss = 1.7124844574870275
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| 664 |
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pearson = -0.80807585
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| 665 |
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rep_loss = 0.6748331251515669
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| 666 |
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spearmanr = -0.8065304686897566
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| 667 |
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att_loss = 1.0367018782351614
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| 668 |
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cls_loss = 0.0
|
| 669 |
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corr = -0.8096235043595943
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| 670 |
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eval_loss = 7.887897973364972
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| 671 |
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global_step = 3749
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| 672 |
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loss = 1.710518913766358
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| 673 |
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pearson = -0.81032044
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| 674 |
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rep_loss = 0.6738170358491726
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| 675 |
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spearmanr = -0.8089265717646904
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| 676 |
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att_loss = 1.035663390008987
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| 677 |
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cls_loss = 0.0
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| 678 |
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corr = -0.8027747552145168
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| 679 |
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eval_loss = 7.887859364773365
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| 680 |
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global_step = 3799
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| 681 |
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| 682 |
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pearson = -0.804212
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| 683 |
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rep_loss = 0.6727660197306696
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| 684 |
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spearmanr = -0.8013375362850516
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| 685 |
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att_loss = 1.0347850134261833
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| 686 |
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cls_loss = 0.0
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| 687 |
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corr = -0.80146350993199
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| 688 |
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eval_loss = 7.879838694917395
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| 689 |
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global_step = 3849
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| 690 |
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loss = 1.7065412363283787
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| 691 |
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pearson = -0.8026949
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| 692 |
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rep_loss = 0.6717562231344816
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| 693 |
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spearmanr = -0.8002321031388213
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| 694 |
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att_loss = 1.0346157097394542
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| 695 |
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cls_loss = 0.0
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| 696 |
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corr = -0.795515463206043
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| 697 |
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eval_loss = 7.88285661250987
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| 698 |
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global_step = 3899
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| 699 |
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| 700 |
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pearson = -0.79727817
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| 701 |
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rep_loss = 0.6708824964143215
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| 702 |
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spearmanr = -0.7937527605948255
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| 703 |
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att_loss = 1.0340512240044706
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| 704 |
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cls_loss = 0.0
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| 705 |
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corr = -0.8137331000346092
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| 706 |
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eval_loss = 7.885255833889576
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| 707 |
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global_step = 3949
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| 708 |
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| 709 |
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pearson = -0.8150358
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| 710 |
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rep_loss = 0.6699813660955876
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| 711 |
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spearmanr = -0.8124303800618942
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| 712 |
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att_loss = 1.033474284832285
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| 713 |
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cls_loss = 0.0
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| 714 |
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corr = -0.8153949099553719
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| 715 |
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eval_loss = 7.886027214374948
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| 716 |
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global_step = 3999
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| 717 |
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| 718 |
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| 719 |
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rep_loss = 0.6690620829475377
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| 720 |
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| 721 |
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att_loss = 1.0329165797258313
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| 722 |
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cls_loss = 0.0
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| 723 |
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corr = -0.8008012139116198
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| 724 |
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eval_loss = 7.882011515028934
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| 725 |
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global_step = 4049
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| 726 |
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| 727 |
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| 728 |
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rep_loss = 0.6681916173165685
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| 729 |
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| 730 |
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att_loss = 1.0319901720929012
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| 731 |
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cls_loss = 0.0
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| 732 |
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corr = -0.804105914892843
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| 733 |
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eval_loss = 7.880573734324029
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| 734 |
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global_step = 4099
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| 735 |
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| 736 |
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pearson = -0.80573535
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| 737 |
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rep_loss = 0.667234779014969
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| 738 |
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spearmanr = -0.8024764801305346
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| 739 |
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att_loss = 1.031315828294862
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| 740 |
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cls_loss = 0.0
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| 741 |
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corr = -0.805497898062649
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| 742 |
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eval_loss = 7.8872427179458295
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| 743 |
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global_step = 4149
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| 744 |
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| 745 |
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pearson = -0.8072976
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| 746 |
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rep_loss = 0.666347982927126
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| 747 |
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spearmanr = -0.8036982087305838
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| 748 |
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att_loss = 1.0302203962649013
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| 749 |
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cls_loss = 0.0
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| 750 |
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corr = -0.8030828944565815
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| 751 |
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eval_loss = 7.881903658521936
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| 752 |
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global_step = 4199
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| 753 |
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| 754 |
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pearson = -0.80470306
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| 755 |
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rep_loss = 0.6654435696559851
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| 756 |
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spearmanr = -0.8014627321008767
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| 757 |
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att_loss = 1.0293135503988655
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| 758 |
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cls_loss = 0.0
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| 759 |
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corr = -0.8052731888813637
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| 760 |
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eval_loss = 7.883004893647864
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| 761 |
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global_step = 4249
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| 762 |
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| 763 |
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pearson = -0.8070806
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| 764 |
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rep_loss = 0.664585496529772
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| 765 |
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spearmanr = -0.8034657512749954
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| 766 |
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att_loss = 1.0288840394071104
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| 767 |
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cls_loss = 0.0
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| 768 |
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corr = -0.8005550380097808
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| 769 |
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eval_loss = 7.879530764640646
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| 770 |
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global_step = 4299
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| 771 |
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| 772 |
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pearson = -0.8023107
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| 773 |
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rep_loss = 0.6637600856510587
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| 774 |
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spearmanr = -0.798799370834625
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| 775 |
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att_loss = 1.0281427147663114
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| 776 |
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cls_loss = 0.0
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| 777 |
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corr = -0.8051781531110755
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| 778 |
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eval_loss = 7.879640285004961
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| 779 |
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global_step = 4349
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| 780 |
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| 781 |
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pearson = -0.80658585
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| 782 |
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rep_loss = 0.6628971595987831
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| 783 |
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spearmanr = -0.8037704578906998
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| 784 |
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att_loss = 1.0273499202527738
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| 785 |
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cls_loss = 0.0
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| 786 |
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corr = -0.7989054365528889
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| 787 |
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eval_loss = 7.877462894358533
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| 788 |
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global_step = 4399
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| 789 |
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| 790 |
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pearson = -0.8000819
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| 791 |
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rep_loss = 0.6620149669741522
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| 792 |
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spearmanr = -0.7977289644029275
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| 793 |
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att_loss = 1.0268348204631381
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| 794 |
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cls_loss = 0.0
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| 795 |
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corr = -0.8008097650255928
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| 796 |
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eval_loss = 7.883775756714192
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| 797 |
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global_step = 4449
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| 798 |
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loss = 1.6880620352523625
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| 799 |
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pearson = -0.8028099
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| 800 |
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rep_loss = 0.6612272152313358
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| 801 |
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spearmanr = -0.7988096359662552
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| 802 |
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att_loss = 1.026359798007871
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| 803 |
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cls_loss = 0.0
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| 804 |
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corr = -0.8022901083762073
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| 805 |
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eval_loss = 7.887373553945663
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| 806 |
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global_step = 4499
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| 807 |
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| 808 |
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pearson = -0.804688
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| 809 |
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rep_loss = 0.6604655618057115
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| 810 |
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spearmanr = -0.7998922399152564
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| 811 |
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att_loss = 1.025716098632674
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| 812 |
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cls_loss = 0.0
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| 813 |
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corr = -0.7914530326819084
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| 814 |
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eval_loss = 7.877713766503842
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| 815 |
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global_step = 4549
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| 816 |
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loss = 1.6853944157002705
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| 817 |
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pearson = -0.79310995
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| 818 |
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rep_loss = 0.6596783174606805
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| 819 |
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spearmanr = -0.7897961119603438
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| 820 |
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att_loss = 1.0254987402438185
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| 821 |
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cls_loss = 0.0
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| 822 |
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corr = -0.8018154775077739
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| 823 |
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eval_loss = 7.883626116083024
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| 824 |
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global_step = 4599
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| 825 |
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loss = 1.6844681486872959
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| 826 |
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pearson = -0.8036032
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| 827 |
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rep_loss = 0.6589694088322879
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| 828 |
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spearmanr = -0.8000277827133019
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| 829 |
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att_loss = 1.0248261950148847
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| 830 |
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cls_loss = 0.0
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| 831 |
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corr = -0.7970335166945056
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| 832 |
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eval_loss = 7.8898305740762265
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| 833 |
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global_step = 4649
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| 834 |
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loss = 1.683014370287893
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| 835 |
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pearson = -0.7991922
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| 836 |
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rep_loss = 0.6581881756704581
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| 837 |
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spearmanr = -0.7948748432187231
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| 838 |
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att_loss = 1.0244145666596534
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| 839 |
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cls_loss = 0.0
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| 840 |
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corr = -0.8043084064914954
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| 841 |
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eval_loss = 7.889023537331439
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| 842 |
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global_step = 4699
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| 843 |
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loss = 1.681905362778051
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| 844 |
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pearson = -0.80660003
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| 845 |
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rep_loss = 0.6574907965116182
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| 846 |
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spearmanr = -0.8020167787460829
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| 847 |
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att_loss = 1.0238873439227738
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| 848 |
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cls_loss = 0.0
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| 849 |
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corr = -0.8043855819176072
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| 850 |
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eval_loss = 7.881097063105157
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| 851 |
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global_step = 4749
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| 852 |
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loss = 1.6806542908776356
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| 853 |
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pearson = -0.8062601
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| 854 |
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rep_loss = 0.6567669473564933
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| 855 |
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spearmanr = -0.8025110548874606
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| 856 |
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att_loss = 1.0233817035318737
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| 857 |
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cls_loss = 0.0
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| 858 |
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corr = -0.8017417615207164
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| 859 |
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eval_loss = 7.885310736108334
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| 860 |
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global_step = 4799
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| 861 |
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loss = 1.6794065960150606
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| 862 |
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pearson = -0.8035954
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| 863 |
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rep_loss = 0.6560248928682136
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| 864 |
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spearmanr = -0.7998880993430075
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| 865 |
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att_loss = 1.0226087608910708
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| 866 |
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cls_loss = 0.0
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| 867 |
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corr = -0.7983445871273349
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| 868 |
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eval_loss = 7.885305785118265
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| 869 |
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global_step = 4849
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| 870 |
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loss = 1.6778962849390633
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| 871 |
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pearson = -0.800306
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| 872 |
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rep_loss = 0.6552875243798805
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| 873 |
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spearmanr = -0.7963831520874639
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| 874 |
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att_loss = 1.0218974613345235
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| 875 |
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cls_loss = 0.0
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| 876 |
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corr = -0.8023645118610254
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| 877 |
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eval_loss = 7.882727709222348
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| 878 |
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global_step = 4899
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| 879 |
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loss = 1.6764449497027454
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| 880 |
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pearson = -0.80405605
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| 881 |
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rep_loss = 0.6545474887332227
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| 882 |
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spearmanr = -0.8006729753288012
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| 883 |
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att_loss = 1.0218215422163974
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| 884 |
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cls_loss = 0.0
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| 885 |
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corr = -0.7984138570607047
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| 886 |
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eval_loss = 7.882011479519783
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| 887 |
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global_step = 4949
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| 888 |
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loss = 1.6757447390297153
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| 889 |
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pearson = -0.8003639
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| 890 |
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rep_loss = 0.6539231971384998
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| 891 |
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spearmanr = -0.7964638158441267
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| 892 |
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att_loss = 1.02109217730778
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| 893 |
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cls_loss = 0.0
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| 894 |
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corr = -0.7924904158134195
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| 895 |
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eval_loss = 7.879736382910546
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| 896 |
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global_step = 4999
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| 897 |
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loss = 1.6742792870669776
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| 898 |
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pearson = -0.7943131
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| 899 |
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rep_loss = 0.6531871101168972
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| 900 |
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spearmanr = -0.7906677584685748
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| 901 |
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att_loss = 1.0205405416949525
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| 902 |
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cls_loss = 0.0
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| 903 |
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corr = -0.7925238058973872
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| 904 |
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eval_loss = 7.881459636891142
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| 905 |
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global_step = 5049
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| 906 |
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loss = 1.6730513415211001
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| 907 |
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pearson = -0.7944362
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| 908 |
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rep_loss = 0.6525108001684996
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| 909 |
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spearmanr = -0.7906113954404044
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| 910 |
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att_loss = 1.0202455183972936
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| 911 |
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cls_loss = 0.0
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| 912 |
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corr = -0.7894510831374153
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| 913 |
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eval_loss = 7.88310351777584
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| 914 |
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global_step = 5099
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| 915 |
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loss = 1.6721238727592025
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| 916 |
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pearson = -0.79199845
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| 917 |
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rep_loss = 0.6518783546424562
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| 918 |
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spearmanr = -0.7869037202871291
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| 919 |
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att_loss = 1.0198826884084313
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| 920 |
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cls_loss = 0.0
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| 921 |
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corr = -0.7993873950372006
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| 922 |
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eval_loss = 7.885441130780159
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| 923 |
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global_step = 5149
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| 924 |
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loss = 1.671133320362597
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| 925 |
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pearson = -0.801551
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| 926 |
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rep_loss = 0.6512506322204129
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| 927 |
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spearmanr = -0.7972238056917718
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| 928 |
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att_loss = 1.0195193198190833
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| 929 |
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cls_loss = 0.0
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| 930 |
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corr = -0.7842387236981749
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| 931 |
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eval_loss = 7.880959662985294
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| 932 |
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global_step = 5199
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| 933 |
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loss = 1.6701397165286356
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| 934 |
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pearson = -0.78656983
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| 935 |
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rep_loss = 0.6506203969847034
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| 936 |
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spearmanr = -0.7819076136408567
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| 937 |
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att_loss = 1.019210170293722
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| 938 |
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cls_loss = 0.0
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| 939 |
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corr = -0.7949784259587838
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| 940 |
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eval_loss = 7.8825838464371705
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| 941 |
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global_step = 5249
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| 942 |
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loss = 1.6692269113000675
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| 943 |
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pearson = -0.7970209
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| 944 |
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rep_loss = 0.6500167412334543
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| 945 |
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spearmanr = -0.7929359397471574
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| 946 |
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att_loss = 1.018364197208108
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| 947 |
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cls_loss = 0.0
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| 948 |
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corr = -0.7872840623708033
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| 949 |
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eval_loss = 7.879632122973178
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| 950 |
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global_step = 5299
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| 951 |
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loss = 1.6677403061496556
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| 952 |
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pearson = -0.7890936
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| 953 |
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rep_loss = 0.6493761091665133
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| 954 |
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spearmanr = -0.7854745111170337
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| 955 |
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att_loss = 1.0180156793209254
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| 956 |
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cls_loss = 0.0
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| 957 |
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corr = -0.7905924788323717
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| 958 |
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eval_loss = 7.882703121672285
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| 959 |
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global_step = 5349
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| 960 |
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loss = 1.666797702881661
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| 961 |
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pearson = -0.79303885
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| 962 |
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rep_loss = 0.648782023828171
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| 963 |
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spearmanr = -0.7881461126024877
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| 964 |
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att_loss = 1.0176281589869107
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| 965 |
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cls_loss = 0.0
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| 966 |
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corr = -0.7904332441267028
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| 967 |
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eval_loss = 7.884383429872229
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| 968 |
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global_step = 5399
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| 969 |
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loss = 1.665833396146774
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| 970 |
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pearson = -0.7926398
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| 971 |
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rep_loss = 0.6482052374689816
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| 972 |
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spearmanr = -0.7882266962879211
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| 973 |
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att_loss = 1.017172096037694
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| 974 |
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cls_loss = 0.0
|
| 975 |
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corr = -0.7837661133061559
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| 976 |
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eval_loss = 7.879556300792288
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| 977 |
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global_step = 5449
|
| 978 |
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loss = 1.664774070816054
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| 979 |
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pearson = -0.7861581
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| 980 |
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rep_loss = 0.6476019750846419
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| 981 |
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spearmanr = -0.781374141742927
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| 982 |
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att_loss = 1.016757836415998
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| 983 |
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cls_loss = 0.0
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| 984 |
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corr = -0.7893451472831517
|
| 985 |
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eval_loss = 7.880287190701099
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| 986 |
+
global_step = 5499
|
| 987 |
+
loss = 1.6637810908310802
|
| 988 |
+
pearson = -0.79152215
|
| 989 |
+
rep_loss = 0.647023254696901
|
| 990 |
+
spearmanr = -0.7871681492950022
|
| 991 |
+
att_loss = 1.016358962046561
|
| 992 |
+
cls_loss = 0.0
|
| 993 |
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corr = -0.7861014457604929
|
| 994 |
+
eval_loss = 7.8828939021901885
|
| 995 |
+
global_step = 5549
|
| 996 |
+
loss = 1.662814181739091
|
| 997 |
+
pearson = -0.7889092
|
| 998 |
+
rep_loss = 0.6464552198858772
|
| 999 |
+
spearmanr = -0.7832936946673482
|
| 1000 |
+
att_loss = 1.0157345060174605
|
| 1001 |
+
cls_loss = 0.0
|
| 1002 |
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corr = -0.7924527911325525
|
| 1003 |
+
eval_loss = 7.880722324898902
|
| 1004 |
+
global_step = 5599
|
| 1005 |
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loss = 1.6615796226926267
|
| 1006 |
+
pearson = -0.79458547
|
| 1007 |
+
rep_loss = 0.6458451168987235
|
| 1008 |
+
spearmanr = -0.7903201158802174
|
| 1009 |
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att_loss = 1.0153759010155912
|
| 1010 |
+
cls_loss = 0.0
|
| 1011 |
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corr = -0.7938879250648893
|
| 1012 |
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eval_loss = 7.88284987084409
|
| 1013 |
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global_step = 5649
|
| 1014 |
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loss = 1.6606943825110436
|
| 1015 |
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pearson = -0.7967424
|
| 1016 |
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rep_loss = 0.6453184817803393
|
| 1017 |
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spearmanr = -0.7910334704644038
|
| 1018 |
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att_loss = 1.0148217733501657
|
| 1019 |
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cls_loss = 0.0
|
| 1020 |
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corr = -0.7833884250472423
|
| 1021 |
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eval_loss = 7.885130004679903
|
| 1022 |
+
global_step = 5699
|
| 1023 |
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loss = 1.6595540121786008
|
| 1024 |
+
pearson = -0.785493
|
| 1025 |
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rep_loss = 0.644732239037611
|
| 1026 |
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spearmanr = -0.7812838338515035
|
| 1027 |
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att_loss = 1.0140951112635883
|
| 1028 |
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cls_loss = 0.0
|
| 1029 |
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corr = -0.7908171568661452
|
| 1030 |
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eval_loss = 7.879203192731167
|
| 1031 |
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global_step = 5749
|
| 1032 |
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loss = 1.6582424913744114
|
| 1033 |
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pearson = -0.7930271
|
| 1034 |
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rep_loss = 0.6441473803078118
|
| 1035 |
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spearmanr = -0.7886072107850552
|
| 1036 |
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att_loss = 1.0137597163867738
|
| 1037 |
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cls_loss = 0.0
|
| 1038 |
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corr = -0.7978625555723524
|
| 1039 |
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eval_loss = 7.885212720708644
|
| 1040 |
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global_step = 5799
|
| 1041 |
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loss = 1.6573731016755042
|
| 1042 |
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pearson = -0.8007637
|
| 1043 |
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rep_loss = 0.6436133855251346
|
| 1044 |
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spearmanr = -0.7949613849102687
|
| 1045 |
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att_loss = 1.0133642812410284
|
| 1046 |
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cls_loss = 0.0
|
| 1047 |
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corr = -0.7941523597909889
|
| 1048 |
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eval_loss = 7.882992039335535
|
| 1049 |
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global_step = 5849
|
| 1050 |
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loss = 1.6564623887242569
|
| 1051 |
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pearson = -0.79669046
|
| 1052 |
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rep_loss = 0.6430981077379927
|
| 1053 |
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spearmanr = -0.7916142555622023
|
| 1054 |
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att_loss = 1.0128292239183165
|
| 1055 |
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cls_loss = 0.0
|
| 1056 |
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corr = -0.7835087937736783
|
| 1057 |
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eval_loss = 7.880035126462896
|
| 1058 |
+
global_step = 5899
|
| 1059 |
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loss = 1.6553741847080463
|
| 1060 |
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pearson = -0.78565854
|
| 1061 |
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rep_loss = 0.6425449610423346
|
| 1062 |
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spearmanr = -0.7813590492058344
|
| 1063 |
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att_loss = 1.0121751670116816
|
| 1064 |
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cls_loss = 0.0
|
| 1065 |
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corr = -0.7865006683168306
|
| 1066 |
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eval_loss = 7.885717457913338
|
| 1067 |
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global_step = 5949
|
| 1068 |
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loss = 1.6541556609861188
|
| 1069 |
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pearson = -0.78910196
|
| 1070 |
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rep_loss = 0.6419804942750154
|
| 1071 |
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spearmanr = -0.78389937835882
|
| 1072 |
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att_loss = 1.0118862984875556
|
| 1073 |
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cls_loss = 0.0
|
| 1074 |
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corr = -0.7842738232710404
|
| 1075 |
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eval_loss = 7.877013835501163
|
| 1076 |
+
global_step = 5999
|
| 1077 |
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loss = 1.6533551366950376
|
| 1078 |
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pearson = -0.7863707
|
| 1079 |
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rep_loss = 0.6414688385254265
|
| 1080 |
+
spearmanr = -0.7821769519047823
|
| 1081 |
+
att_loss = 1.0116214585966425
|
| 1082 |
+
cls_loss = 0.0
|
| 1083 |
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corr = -0.786373830671621
|
| 1084 |
+
eval_loss = 7.878564773721898
|
| 1085 |
+
global_step = 6049
|
| 1086 |
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loss = 1.6526024559742756
|
| 1087 |
+
pearson = -0.788534
|
| 1088 |
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rep_loss = 0.6409809976436812
|
| 1089 |
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spearmanr = -0.7842136757284656
|
| 1090 |
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att_loss = 1.0110413941775684
|
| 1091 |
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cls_loss = 0.0
|
| 1092 |
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corr = -0.788153057690523
|
| 1093 |
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eval_loss = 7.881169892371969
|
| 1094 |
+
global_step = 6099
|
| 1095 |
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loss = 1.651479558722663
|
| 1096 |
+
pearson = -0.79070807
|
| 1097 |
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rep_loss = 0.640438164926236
|
| 1098 |
+
spearmanr = -0.785598050348087
|
| 1099 |
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att_loss = 1.0107657974339013
|
| 1100 |
+
cls_loss = 0.0
|
| 1101 |
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corr = -0.785186074349532
|
| 1102 |
+
eval_loss = 7.885160501967085
|
| 1103 |
+
global_step = 6149
|
| 1104 |
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loss = 1.6507263483701053
|
| 1105 |
+
pearson = -0.7881484
|
| 1106 |
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rep_loss = 0.6399605512948594
|
| 1107 |
+
spearmanr = -0.7822237455313394
|
| 1108 |
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att_loss = 1.010451116923806
|
| 1109 |
+
cls_loss = 0.0
|
| 1110 |
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corr = -0.7816741352890162
|
| 1111 |
+
eval_loss = 7.883099789315081
|
| 1112 |
+
global_step = 6199
|
| 1113 |
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loss = 1.6499202706425742
|
| 1114 |
+
pearson = -0.78423667
|
| 1115 |
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rep_loss = 0.6394691540456853
|
| 1116 |
+
spearmanr = -0.7791116010376272
|
| 1117 |
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att_loss = 1.0101404681570494
|
| 1118 |
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cls_loss = 0.0
|
| 1119 |
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corr = -0.7819975785370036
|
| 1120 |
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eval_loss = 7.880589033694977
|
| 1121 |
+
global_step = 6249
|
| 1122 |
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loss = 1.6491267129619096
|
| 1123 |
+
pearson = -0.78423774
|
| 1124 |
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rep_loss = 0.6389862451291615
|
| 1125 |
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spearmanr = -0.7797574146499959
|
| 1126 |
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att_loss = 1.0098233539483947
|
| 1127 |
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cls_loss = 0.0
|
| 1128 |
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corr = -0.7756855060664005
|
| 1129 |
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eval_loss = 7.881719700833584
|
| 1130 |
+
global_step = 6299
|
| 1131 |
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loss = 1.6483316510456822
|
| 1132 |
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pearson = -0.77844805
|
| 1133 |
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rep_loss = 0.6385082974947148
|
| 1134 |
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spearmanr = -0.7729229668790473
|
| 1135 |
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att_loss = 1.0093358090438698
|
| 1136 |
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cls_loss = 0.0
|
| 1137 |
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corr = -0.7773219600859871
|
| 1138 |
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eval_loss = 7.879482127250509
|
| 1139 |
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global_step = 6349
|
| 1140 |
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loss = 1.6473468527641422
|
| 1141 |
+
pearson = -0.7797397
|
| 1142 |
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rep_loss = 0.638011044105182
|
| 1143 |
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spearmanr = -0.7749042422659379
|
| 1144 |
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att_loss = 1.008950786276485
|
| 1145 |
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cls_loss = 0.0
|
| 1146 |
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corr = -0.7836196337775567
|
| 1147 |
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eval_loss = 7.885690612995878
|
| 1148 |
+
global_step = 6399
|
| 1149 |
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loss = 1.646472493509405
|
| 1150 |
+
pearson = -0.7866531
|
| 1151 |
+
rep_loss = 0.6375217075868778
|
| 1152 |
+
spearmanr = -0.7805861661108691
|
| 1153 |
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att_loss = 1.0083764900087588
|
| 1154 |
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cls_loss = 0.0
|
| 1155 |
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corr = -0.775604548953768
|
| 1156 |
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eval_loss = 7.880187303461927
|
| 1157 |
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global_step = 6449
|
| 1158 |
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loss = 1.6454029067170066
|
| 1159 |
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pearson = -0.7783735
|
| 1160 |
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rep_loss = 0.6370264170502189
|
| 1161 |
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spearmanr = -0.7728356180643964
|
| 1162 |
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att_loss = 1.0080890368454125
|
| 1163 |
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cls_loss = 0.0
|
| 1164 |
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corr = -0.7745493501485691
|
| 1165 |
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eval_loss = 7.882757729672371
|
| 1166 |
+
global_step = 6499
|
| 1167 |
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loss = 1.6446485498681915
|
| 1168 |
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pearson = -0.777623
|
| 1169 |
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rep_loss = 0.6365595133712905
|
| 1170 |
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spearmanr = -0.7714757025363654
|
| 1171 |
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att_loss = 1.0076539910536793
|
| 1172 |
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cls_loss = 0.0
|
| 1173 |
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corr = -0.7639186858448797
|
| 1174 |
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eval_loss = 7.874882971986811
|
| 1175 |
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global_step = 6549
|
| 1176 |
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loss = 1.6437551494335687
|
| 1177 |
+
pearson = -0.7668735
|
| 1178 |
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rep_loss = 0.6361011587348416
|
| 1179 |
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spearmanr = -0.760963892800294
|
| 1180 |
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att_loss = 1.0071719234270442
|
| 1181 |
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cls_loss = 0.0
|
| 1182 |
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corr = -0.7798664368258947
|
| 1183 |
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eval_loss = 7.881815986430391
|
| 1184 |
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global_step = 6599
|
| 1185 |
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loss = 1.6428205956471909
|
| 1186 |
+
pearson = -0.78258467
|
| 1187 |
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rep_loss = 0.6356486725272473
|
| 1188 |
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spearmanr = -0.7771482064459788
|
| 1189 |
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att_loss = 1.006984714055029
|
| 1190 |
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cls_loss = 0.0
|
| 1191 |
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corr = -0.7768874637332994
|
| 1192 |
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eval_loss = 7.883476855907034
|
| 1193 |
+
global_step = 6649
|
| 1194 |
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loss = 1.642205836468486
|
| 1195 |
+
pearson = -0.7804687
|
| 1196 |
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rep_loss = 0.6352211227003193
|
| 1197 |
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spearmanr = -0.7733062251503147
|
| 1198 |
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att_loss = 1.006649703361291
|
| 1199 |
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cls_loss = 0.0
|
| 1200 |
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corr = -0.775442589131728
|
| 1201 |
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eval_loss = 7.87861663229922
|
| 1202 |
+
global_step = 6699
|
| 1203 |
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loss = 1.6414424372103735
|
| 1204 |
+
pearson = -0.77796173
|
| 1205 |
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rep_loss = 0.6347927341871892
|
| 1206 |
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spearmanr = -0.7729234473064247
|
| 1207 |
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att_loss = 1.006228340053615
|
| 1208 |
+
cls_loss = 0.0
|
| 1209 |
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corr = -0.7736476146392206
|
| 1210 |
+
eval_loss = 7.878367160228973
|
| 1211 |
+
global_step = 6749
|
| 1212 |
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loss = 1.6405772210615868
|
| 1213 |
+
pearson = -0.77655935
|
| 1214 |
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rep_loss = 0.6343488813524053
|
| 1215 |
+
spearmanr = -0.7707358764036853
|
| 1216 |
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att_loss = 1.0059196454126145
|
| 1217 |
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cls_loss = 0.0
|
| 1218 |
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corr = -0.7815462959399084
|
| 1219 |
+
eval_loss = 7.878247007410577
|
| 1220 |
+
global_step = 6799
|
| 1221 |
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loss = 1.6398341918556212
|
| 1222 |
+
pearson = -0.783397
|
| 1223 |
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rep_loss = 0.6339145467849072
|
| 1224 |
+
spearmanr = -0.7796955729703624
|
| 1225 |
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att_loss = 1.0056253641882957
|
| 1226 |
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cls_loss = 0.0
|
| 1227 |
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corr = -0.7570580668108167
|
| 1228 |
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eval_loss = 7.87417679137372
|
| 1229 |
+
global_step = 6849
|
| 1230 |
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loss = 1.6390945673824349
|
| 1231 |
+
pearson = -0.75887257
|
| 1232 |
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rep_loss = 0.6334692035074355
|
| 1233 |
+
spearmanr = -0.7552435650143031
|
| 1234 |
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att_loss = 1.0051951041634937
|
| 1235 |
+
cls_loss = 0.0
|
| 1236 |
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corr = -0.7624952393778601
|
| 1237 |
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eval_loss = 7.876411859025347
|
| 1238 |
+
global_step = 6899
|
| 1239 |
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loss = 1.6382227915752658
|
| 1240 |
+
pearson = -0.7646034
|
| 1241 |
+
rep_loss = 0.6330276877055186
|
| 1242 |
+
spearmanr = -0.7603871023671703
|
| 1243 |
+
att_loss = 1.004764085005369
|
| 1244 |
+
cls_loss = 0.0
|
| 1245 |
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corr = -0.7701019229432908
|
| 1246 |
+
eval_loss = 7.87791290689022
|
| 1247 |
+
global_step = 6949
|
| 1248 |
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loss = 1.6373501993423059
|
| 1249 |
+
pearson = -0.7726863
|
| 1250 |
+
rep_loss = 0.6325861146543023
|
| 1251 |
+
spearmanr = -0.7675175432246859
|
| 1252 |
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att_loss = 1.0044881336977523
|
| 1253 |
+
cls_loss = 0.0
|
| 1254 |
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corr = -0.777495665214646
|
| 1255 |
+
eval_loss = 7.883114490103214
|
| 1256 |
+
global_step = 6999
|
| 1257 |
+
loss = 1.6366497211787407
|
| 1258 |
+
pearson = -0.779984
|
| 1259 |
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rep_loss = 0.6321615877960866
|
| 1260 |
+
spearmanr = -0.7750073330843212
|
| 1261 |
+
att_loss = 1.003957787800011
|
| 1262 |
+
cls_loss = 0.0
|
| 1263 |
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corr = -0.7690432634847937
|
| 1264 |
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eval_loss = 7.881840457307532
|
| 1265 |
+
global_step = 7049
|
| 1266 |
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loss = 1.6356791529119024
|
| 1267 |
+
pearson = -0.7706636
|
| 1268 |
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rep_loss = 0.6317213654670331
|
| 1269 |
+
spearmanr = -0.7674229079281445
|
| 1270 |
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att_loss = 1.0036346596854726
|
| 1271 |
+
cls_loss = 0.0
|
| 1272 |
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corr = -0.759794941124978
|
| 1273 |
+
eval_loss = 7.877204276145773
|
| 1274 |
+
global_step = 7099
|
| 1275 |
+
loss = 1.6349509777964328
|
| 1276 |
+
pearson = -0.7619405
|
| 1277 |
+
rep_loss = 0.6313163184384122
|
| 1278 |
+
spearmanr = -0.7576494029713915
|
| 1279 |
+
att_loss = 1.003294122237428
|
| 1280 |
+
cls_loss = 0.0
|
| 1281 |
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corr = -0.7742140123047652
|
| 1282 |
+
eval_loss = 7.879452532910286
|
| 1283 |
+
global_step = 7149
|
| 1284 |
+
loss = 1.6342284214348206
|
| 1285 |
+
pearson = -0.77622163
|
| 1286 |
+
rep_loss = 0.6309342995559041
|
| 1287 |
+
spearmanr = -0.7722063916520719
|
| 1288 |
+
att_loss = 1.0031162286851287
|
| 1289 |
+
cls_loss = 0.0
|
| 1290 |
+
corr = -0.7644994662769029
|
| 1291 |
+
eval_loss = 7.879363095506709
|
| 1292 |
+
global_step = 7199
|
| 1293 |
+
loss = 1.6336705593586565
|
| 1294 |
+
pearson = -0.7666511
|
| 1295 |
+
rep_loss = 0.6305543309798719
|
| 1296 |
+
spearmanr = -0.7623478385939974
|
| 1297 |
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att_loss = 1.0028281948996964
|
| 1298 |
+
cls_loss = 0.0
|
| 1299 |
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corr = -0.7670166884847107
|
| 1300 |
+
eval_loss = 7.878338184762509
|
| 1301 |
+
global_step = 7249
|
| 1302 |
+
loss = 1.6329963473159372
|
| 1303 |
+
pearson = -0.769094
|
| 1304 |
+
rep_loss = 0.630168152720472
|
| 1305 |
+
spearmanr = -0.7649393866434938
|
| 1306 |
+
att_loss = 1.0026757190416635
|
| 1307 |
+
cls_loss = 0.0
|
| 1308 |
+
corr = -0.7456495509234073
|
| 1309 |
+
eval_loss = 7.876622418139843
|
| 1310 |
+
global_step = 7299
|
| 1311 |
+
loss = 1.6324692951814657
|
| 1312 |
+
pearson = -0.74695337
|
| 1313 |
+
rep_loss = 0.6297935764092847
|
| 1314 |
+
spearmanr = -0.744345733659864
|
| 1315 |
+
att_loss = 1.0024437189897009
|
| 1316 |
+
cls_loss = 0.0
|
| 1317 |
+
corr = -0.757860644384418
|
| 1318 |
+
eval_loss = 7.877275887956011
|
| 1319 |
+
global_step = 7349
|
| 1320 |
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loss = 1.6318708288538195
|
| 1321 |
+
pearson = -0.759891
|
| 1322 |
+
rep_loss = 0.6294271101560993
|
| 1323 |
+
spearmanr = -0.7558303152008735
|
| 1324 |
+
att_loss = 1.0019519396095053
|
| 1325 |
+
cls_loss = 0.0
|
| 1326 |
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corr = -0.7511253635098356
|
| 1327 |
+
eval_loss = 7.87363342021374
|
| 1328 |
+
global_step = 7399
|
| 1329 |
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loss = 1.6309678403569776
|
| 1330 |
+
pearson = -0.75188005
|
| 1331 |
+
rep_loss = 0.6290159010213684
|
| 1332 |
+
spearmanr = -0.7503706773141658
|
| 1333 |
+
att_loss = 1.0015723678165993
|
| 1334 |
+
cls_loss = 0.0
|
| 1335 |
+
corr = -0.7565884658960192
|
| 1336 |
+
eval_loss = 7.877037849832089
|
| 1337 |
+
global_step = 7449
|
| 1338 |
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loss = 1.6302010756976686
|
| 1339 |
+
pearson = -0.75813353
|
| 1340 |
+
rep_loss = 0.628628708177132
|
| 1341 |
+
spearmanr = -0.7550434011752782
|
| 1342 |
+
att_loss = 1.001280985151645
|
| 1343 |
+
cls_loss = 0.0
|
| 1344 |
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corr = -0.7610777687843442
|
| 1345 |
+
eval_loss = 7.877343279250125
|
| 1346 |
+
global_step = 7499
|
| 1347 |
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loss = 1.6295353512650157
|
| 1348 |
+
pearson = -0.7629292
|
| 1349 |
+
rep_loss = 0.6282543663200275
|
| 1350 |
+
spearmanr = -0.7592263364425899
|
| 1351 |
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att_loss = 1.0008558055425671
|
| 1352 |
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cls_loss = 0.0
|
| 1353 |
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corr = -0.753230736276916
|
| 1354 |
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eval_loss = 7.8754578194719675
|
| 1355 |
+
global_step = 7549
|
| 1356 |
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loss = 1.6287230926249134
|
| 1357 |
+
pearson = -0.75410616
|
| 1358 |
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rep_loss = 0.6278672873271129
|
| 1359 |
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spearmanr = -0.7523553085752552
|
| 1360 |
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att_loss = 1.0006506942592024
|
| 1361 |
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cls_loss = 0.0
|
| 1362 |
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corr = -0.7418578176351787
|
| 1363 |
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eval_loss = 7.875625295841948
|
| 1364 |
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global_step = 7599
|
| 1365 |
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loss = 1.628169312337807
|
| 1366 |
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pearson = -0.74297416
|
| 1367 |
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rep_loss = 0.627518618345292
|
| 1368 |
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spearmanr = -0.7407414731686116
|
| 1369 |
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att_loss = 1.0004274899203072
|
| 1370 |
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cls_loss = 0.0
|
| 1371 |
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corr = -0.7524656832418766
|
| 1372 |
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eval_loss = 7.875995088130869
|
| 1373 |
+
global_step = 7649
|
| 1374 |
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loss = 1.627595900133367
|
| 1375 |
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pearson = -0.7541033
|
| 1376 |
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rep_loss = 0.6271684104468342
|
| 1377 |
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spearmanr = -0.7508280635281257
|
| 1378 |
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att_loss = 1.0001336073531688
|
| 1379 |
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cls_loss = 0.0
|
| 1380 |
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corr = -0.7366680136854535
|
| 1381 |
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eval_loss = 7.871511342677664
|
| 1382 |
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global_step = 7699
|
| 1383 |
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loss = 1.626915787238396
|
| 1384 |
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pearson = -0.73895025
|
| 1385 |
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rep_loss = 0.6267821800400645
|
| 1386 |
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spearmanr = -0.734385774837948
|
| 1387 |
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att_loss = 0.9996835933006691
|
| 1388 |
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cls_loss = 0.0
|
| 1389 |
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corr = -0.7354374986467482
|
| 1390 |
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eval_loss = 7.871902993384828
|
| 1391 |
+
global_step = 7749
|
| 1392 |
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loss = 1.6260800665002406
|
| 1393 |
+
pearson = -0.7363899
|
| 1394 |
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rep_loss = 0.6263964734610965
|
| 1395 |
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spearmanr = -0.734485121881509
|
| 1396 |
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att_loss = 0.9994373042348991
|
| 1397 |
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cls_loss = 0.0
|
| 1398 |
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corr = -0.7404893218173909
|
| 1399 |
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eval_loss = 7.876341317562347
|
| 1400 |
+
global_step = 7799
|
| 1401 |
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loss = 1.6254896794485578
|
| 1402 |
+
pearson = -0.74180883
|
| 1403 |
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rep_loss = 0.626052375496435
|
| 1404 |
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spearmanr = -0.7391698119430398
|
| 1405 |
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att_loss = 0.9990938485678722
|
| 1406 |
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cls_loss = 0.0
|
| 1407 |
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corr = -0.7347292546416364
|
| 1408 |
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eval_loss = 7.872313408141441
|
| 1409 |
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global_step = 7849
|
| 1410 |
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loss = 1.6247757290682074
|
| 1411 |
+
pearson = -0.7369074
|
| 1412 |
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rep_loss = 0.62568188078131
|
| 1413 |
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spearmanr = -0.7325510867407008
|
| 1414 |
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att_loss = 0.9989106895531532
|
| 1415 |
+
cls_loss = 0.0
|
| 1416 |
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corr = -0.7397443570119193
|
| 1417 |
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eval_loss = 7.876266494710395
|
| 1418 |
+
global_step = 7899
|
| 1419 |
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loss = 1.6242700590787318
|
| 1420 |
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pearson = -0.74087584
|
| 1421 |
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rep_loss = 0.6253593698425042
|
| 1422 |
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spearmanr = -0.738612873836766
|
| 1423 |
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att_loss = 0.9987181354534822
|
| 1424 |
+
cls_loss = 0.0
|
| 1425 |
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corr = -0.7520004993825165
|
| 1426 |
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eval_loss = 7.877194247347243
|
| 1427 |
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global_step = 7949
|
| 1428 |
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loss = 1.6237637309971689
|
| 1429 |
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pearson = -0.7529025
|
| 1430 |
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rep_loss = 0.6250455958361235
|
| 1431 |
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spearmanr = -0.7510984909830506
|
| 1432 |
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att_loss = 0.9985142609285912
|
| 1433 |
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cls_loss = 0.0
|
| 1434 |
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corr = -0.7346573086143888
|
| 1435 |
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eval_loss = 7.874456958567842
|
| 1436 |
+
global_step = 7999
|
| 1437 |
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loss = 1.6232210821115252
|
| 1438 |
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pearson = -0.7353526
|
| 1439 |
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rep_loss = 0.6247068215406064
|
| 1440 |
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spearmanr = -0.7339620414498164
|
| 1441 |
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att_loss = 0.9980263284073511
|
| 1442 |
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cls_loss = 0.0
|
| 1443 |
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corr = -0.7288614578895839
|
| 1444 |
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eval_loss = 7.877969909221568
|
| 1445 |
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global_step = 8049
|
| 1446 |
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loss = 1.6223517797469855
|
| 1447 |
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pearson = -0.7296614
|
| 1448 |
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rep_loss = 0.6243254516950852
|
| 1449 |
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spearmanr = -0.7280615106926505
|
| 1450 |
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att_loss = 0.9976208968830191
|
| 1451 |
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cls_loss = 0.0
|
| 1452 |
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corr = -0.7212690442323151
|
| 1453 |
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eval_loss = 7.873601497487819
|
| 1454 |
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global_step = 8099
|
| 1455 |
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loss = 1.6215881747601282
|
| 1456 |
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pearson = -0.72211707
|
| 1457 |
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rep_loss = 0.6239672782524439
|
| 1458 |
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spearmanr = -0.7204210220812685
|
| 1459 |
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att_loss = 0.9973553038766917
|
| 1460 |
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cls_loss = 0.0
|
| 1461 |
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corr = -0.7368816901971158
|
| 1462 |
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eval_loss = 7.875837057194811
|
| 1463 |
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global_step = 8149
|
| 1464 |
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loss = 1.6209967536916907
|
| 1465 |
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pearson = -0.7379338
|
| 1466 |
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rep_loss = 0.6236414502465457
|
| 1467 |
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spearmanr = -0.7358295658686275
|
| 1468 |
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att_loss = 0.997182556995169
|
| 1469 |
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cls_loss = 0.0
|
| 1470 |
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corr = -0.7422467270981783
|
| 1471 |
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eval_loss = 7.874948192150034
|
| 1472 |
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global_step = 8199
|
| 1473 |
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loss = 1.6205094210010198
|
| 1474 |
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pearson = -0.74270654
|
| 1475 |
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rep_loss = 0.6233268644202263
|
| 1476 |
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spearmanr = -0.7417869169496526
|
| 1477 |
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att_loss = 0.9968470004287282
|
| 1478 |
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cls_loss = 0.0
|
| 1479 |
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corr = -0.7290608164929502
|
| 1480 |
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eval_loss = 7.876340754488681
|
| 1481 |
+
global_step = 8249
|
| 1482 |
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loss = 1.6198336178208137
|
| 1483 |
+
pearson = -0.7293
|
| 1484 |
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rep_loss = 0.6229866177533696
|
| 1485 |
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spearmanr = -0.7288216108606562
|
| 1486 |
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att_loss = 0.9967162467252922
|
| 1487 |
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cls_loss = 0.0
|
| 1488 |
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corr = -0.7324114519316953
|
| 1489 |
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eval_loss = 7.873811371782993
|
| 1490 |
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global_step = 8299
|
| 1491 |
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loss = 1.619398572729616
|
| 1492 |
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pearson = -0.73279816
|
| 1493 |
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rep_loss = 0.6226823263347027
|
| 1494 |
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spearmanr = -0.7320247447409237
|
| 1495 |
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att_loss = 0.996542597540925
|
| 1496 |
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cls_loss = 0.0
|
| 1497 |
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corr = -0.7308907277767273
|
| 1498 |
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eval_loss = 7.87376010671575
|
| 1499 |
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global_step = 8349
|
| 1500 |
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loss = 1.6189286000772298
|
| 1501 |
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pearson = -0.7312162
|
| 1502 |
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rep_loss = 0.6223860028647051
|
| 1503 |
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spearmanr = -0.7305652633079711
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| 1504 |
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att_loss = 0.9962556112137617
|
| 1505 |
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cls_loss = 0.0
|
| 1506 |
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corr = -0.7313373316770347
|
| 1507 |
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eval_loss = 7.8718389399508215
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| 1508 |
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global_step = 8399
|
| 1509 |
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loss = 1.6183390678543608
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| 1510 |
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pearson = -0.73123133
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| 1511 |
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rep_loss = 0.6220834568676913
|
| 1512 |
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spearmanr = -0.7314433315288131
|
| 1513 |
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att_loss = 0.9958802291184068
|
| 1514 |
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cls_loss = 0.0
|
| 1515 |
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corr = -0.7274673288419962
|
| 1516 |
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eval_loss = 7.872953516371707
|
| 1517 |
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global_step = 8449
|
| 1518 |
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loss = 1.6176274516819806
|
| 1519 |
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pearson = -0.7269803
|
| 1520 |
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rep_loss = 0.6217472228104863
|
| 1521 |
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spearmanr = -0.7279543291241167
|
| 1522 |
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att_loss = 0.9955831607842055
|
| 1523 |
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cls_loss = 0.0
|
| 1524 |
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corr = -0.7200971531671847
|
| 1525 |
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eval_loss = 7.873303195263477
|
| 1526 |
+
global_step = 8499
|
| 1527 |
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loss = 1.617005110502327
|
| 1528 |
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pearson = -0.71968704
|
| 1529 |
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rep_loss = 0.6214219499635815
|
| 1530 |
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spearmanr = -0.7205072617138556
|
| 1531 |
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att_loss = 0.9952518617860029
|
| 1532 |
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cls_loss = 0.0
|
| 1533 |
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corr = -0.7126832156964222
|
| 1534 |
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eval_loss = 7.87259519353826
|
| 1535 |
+
global_step = 8549
|
| 1536 |
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loss = 1.6163665877962576
|
| 1537 |
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pearson = -0.7130194
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| 1538 |
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rep_loss = 0.6211147262542788
|
| 1539 |
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spearmanr = -0.7123470603601297
|
| 1540 |
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att_loss = 0.9950548169820554
|
| 1541 |
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cls_loss = 0.0
|
| 1542 |
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corr = -0.7281977442411149
|
| 1543 |
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eval_loss = 7.874326320404702
|
| 1544 |
+
global_step = 8599
|
| 1545 |
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loss = 1.6158692974561257
|
| 1546 |
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pearson = -0.7274021
|
| 1547 |
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rep_loss = 0.6208144806889493
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| 1548 |
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spearmanr = -0.7289933974559237
|
| 1549 |
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att_loss = 0.9947418510631297
|
| 1550 |
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cls_loss = 0.0
|
| 1551 |
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corr = -0.7101667908521088
|
| 1552 |
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eval_loss = 7.873594568130818
|
| 1553 |
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global_step = 8649
|
| 1554 |
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loss = 1.6152399782363163
|
| 1555 |
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pearson = -0.7083478
|
| 1556 |
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rep_loss = 0.6204981274006063
|
| 1557 |
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spearmanr = -0.7119857843104186
|
| 1558 |
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att_loss = 0.9943272857874862
|
| 1559 |
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cls_loss = 0.0
|
| 1560 |
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corr = -0.7150894580719813
|
| 1561 |
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eval_loss = 7.870922403132662
|
| 1562 |
+
global_step = 8699
|
| 1563 |
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loss = 1.6144907027089002
|
| 1564 |
+
pearson = -0.7138661
|
| 1565 |
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rep_loss = 0.6201634171612305
|
| 1566 |
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spearmanr = -0.7163128015275686
|
| 1567 |
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att_loss = 0.9940100965302036
|
| 1568 |
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cls_loss = 0.0
|
| 1569 |
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corr = -0.697532785547214
|
| 1570 |
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eval_loss = 7.871114888089768
|
| 1571 |
+
global_step = 8749
|
| 1572 |
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loss = 1.6138657336371847
|
| 1573 |
+
pearson = -0.69503206
|
| 1574 |
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rep_loss = 0.6198556372568612
|
| 1575 |
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spearmanr = -0.7000335109480963
|
| 1576 |
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att_loss = 0.9937604496879786
|
| 1577 |
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cls_loss = 0.0
|
| 1578 |
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corr = -0.71533726645143
|
| 1579 |
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eval_loss = 7.8732005383105985
|
| 1580 |
+
global_step = 8799
|
| 1581 |
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loss = 1.6133294700966572
|
| 1582 |
+
pearson = -0.7139489
|
| 1583 |
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rep_loss = 0.6195690205306109
|
| 1584 |
+
spearmanr = -0.716725627434873
|
| 1585 |
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att_loss = 0.9936305959220121
|
| 1586 |
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cls_loss = 0.0
|
| 1587 |
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corr = -0.7272966335471949
|
| 1588 |
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eval_loss = 7.872956007084948
|
| 1589 |
+
global_step = 8849
|
| 1590 |
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loss = 1.6129241080617673
|
| 1591 |
+
pearson = -0.72594
|
| 1592 |
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rep_loss = 0.6192935122340557
|
| 1593 |
+
spearmanr = -0.728653278004424
|
| 1594 |
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att_loss = 0.9933357366565533
|
| 1595 |
+
cls_loss = 0.0
|
| 1596 |
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corr = -0.734623596808623
|
| 1597 |
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eval_loss = 7.8761520030650685
|
| 1598 |
+
global_step = 8899
|
| 1599 |
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loss = 1.6123387663802988
|
| 1600 |
+
pearson = -0.7340473
|
| 1601 |
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rep_loss = 0.619003029830912
|
| 1602 |
+
spearmanr = -0.735199899954221
|
| 1603 |
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att_loss = 0.9930632091498346
|
| 1604 |
+
cls_loss = 0.0
|
| 1605 |
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corr = -0.69311632041302
|
| 1606 |
+
eval_loss = 7.870518319150235
|
| 1607 |
+
global_step = 8949
|
| 1608 |
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loss = 1.6117743032047076
|
| 1609 |
+
pearson = -0.6918909
|
| 1610 |
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rep_loss = 0.6187110941281384
|
| 1611 |
+
spearmanr = -0.6943417454593712
|
| 1612 |
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att_loss = 0.9926445118148189
|
| 1613 |
+
cls_loss = 0.0
|
| 1614 |
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corr = -0.7108647401533577
|
| 1615 |
+
eval_loss = 7.872507983065666
|
| 1616 |
+
global_step = 8999
|
| 1617 |
+
loss = 1.6110306209372818
|
| 1618 |
+
pearson = -0.7098435
|
| 1619 |
+
rep_loss = 0.6183861092085678
|
| 1620 |
+
spearmanr = -0.7118859639569228
|
| 1621 |
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att_loss = 0.9923870221648193
|
| 1622 |
+
cls_loss = 0.0
|
| 1623 |
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corr = -0.696757062254864
|
| 1624 |
+
eval_loss = 7.870310590622273
|
| 1625 |
+
global_step = 9049
|
| 1626 |
+
loss = 1.6104873543431686
|
| 1627 |
+
pearson = -0.69527125
|
| 1628 |
+
rep_loss = 0.618100332296913
|
| 1629 |
+
spearmanr = -0.6982428709239127
|
| 1630 |
+
att_loss = 0.9921609561827723
|
| 1631 |
+
cls_loss = 0.0
|
| 1632 |
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corr = -0.6990926740112053
|
| 1633 |
+
eval_loss = 7.870400905609131
|
| 1634 |
+
global_step = 9099
|
| 1635 |
+
loss = 1.6099736179437123
|
| 1636 |
+
pearson = -0.6969466
|
| 1637 |
+
rep_loss = 0.6178126618919536
|
| 1638 |
+
spearmanr = -0.7012387270812486
|
| 1639 |
+
att_loss = 0.9920135168498143
|
| 1640 |
+
cls_loss = 0.0
|
| 1641 |
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corr = -0.695988556873929
|
| 1642 |
+
eval_loss = 7.867823610914514
|
| 1643 |
+
global_step = 9149
|
| 1644 |
+
loss = 1.6095559847838292
|
| 1645 |
+
pearson = -0.6943541
|
| 1646 |
+
rep_loss = 0.6175424681164317
|
| 1647 |
+
spearmanr = -0.6976229968312014
|
| 1648 |
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att_loss = 0.9917795568176528
|
| 1649 |
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cls_loss = 0.0
|
| 1650 |
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corr = -0.6936690607261544
|
| 1651 |
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eval_loss = 7.872111523405034
|
| 1652 |
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global_step = 9199
|
| 1653 |
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loss = 1.6090547044143195
|
| 1654 |
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pearson = -0.6910778
|
| 1655 |
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rep_loss = 0.6172751477716124
|
| 1656 |
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spearmanr = -0.6962602930450212
|
| 1657 |
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att_loss = 0.9915080925995291
|
| 1658 |
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cls_loss = 0.0
|
| 1659 |
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corr = -0.7007900204303301
|
| 1660 |
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eval_loss = 7.870810843528585
|
| 1661 |
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global_step = 9249
|
| 1662 |
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loss = 1.608502609560407
|
| 1663 |
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pearson = -0.6980494
|
| 1664 |
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rep_loss = 0.6169945171155444
|
| 1665 |
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spearmanr = -0.703530614781864
|
| 1666 |
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att_loss = 0.9911707949928089
|
| 1667 |
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cls_loss = 0.0
|
| 1668 |
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corr = -0.712920509401785
|
| 1669 |
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eval_loss = 7.872159394812076
|
| 1670 |
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global_step = 9299
|
| 1671 |
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loss = 1.607867584111601
|
| 1672 |
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pearson = -0.71131045
|
| 1673 |
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rep_loss = 0.6166967892533978
|
| 1674 |
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spearmanr = -0.7145305725412103
|
| 1675 |
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|
| 1676 |
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|
| 1677 |
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corr = -0.6935380078362785
|
| 1678 |
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eval_loss = 7.870024265126979
|
| 1679 |
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global_step = 9349
|
| 1680 |
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loss = 1.607491799428101
|
| 1681 |
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|
| 1682 |
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rep_loss = 0.6164414243004974
|
| 1683 |
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spearmanr = -0.6957194759462996
|
| 1684 |
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att_loss = 0.990967552761332
|
| 1685 |
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cls_loss = 0.0
|
| 1686 |
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corr = -0.7014279760142681
|
| 1687 |
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eval_loss = 7.873200746292763
|
| 1688 |
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global_step = 9399
|
| 1689 |
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loss = 1.6071519661436742
|
| 1690 |
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pearson = -0.6999732
|
| 1691 |
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rep_loss = 0.616184413540882
|
| 1692 |
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spearmanr = -0.7028827264349693
|
| 1693 |
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att_loss = 0.99068017653882
|
| 1694 |
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cls_loss = 0.0
|
| 1695 |
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corr = -0.7103798374667574
|
| 1696 |
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eval_loss = 7.873643900485749
|
| 1697 |
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global_step = 9449
|
| 1698 |
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loss = 1.6065792094110647
|
| 1699 |
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pearson = -0.7083955
|
| 1700 |
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rep_loss = 0.6158990330930261
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| 1701 |
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spearmanr = -0.7123641938238957
|
| 1702 |
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att_loss = 0.9904219843058953
|
| 1703 |
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cls_loss = 0.0
|
| 1704 |
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corr = -0.7211176426518209
|
| 1705 |
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eval_loss = 7.876162853646786
|
| 1706 |
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global_step = 9499
|
| 1707 |
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loss = 1.6060465246843707
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| 1708 |
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pearson = -0.71915126
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| 1709 |
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rep_loss = 0.6156245406357436
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| 1710 |
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| 1711 |
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| 1712 |
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|
| 1713 |
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corr = -0.7001541684270891
|
| 1714 |
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eval_loss = 7.872756577552633
|
| 1715 |
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global_step = 9549
|
| 1716 |
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loss = 1.6055308175543888
|
| 1717 |
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|
| 1718 |
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rep_loss = 0.6153514333976752
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| 1719 |
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| 1720 |
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|
| 1721 |
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cls_loss = 0.0
|
| 1722 |
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corr = -0.6802702214003967
|
| 1723 |
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eval_loss = 7.869061820050503
|
| 1724 |
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global_step = 9599
|
| 1725 |
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loss = 1.6048671726212302
|
| 1726 |
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pearson = -0.6776906
|
| 1727 |
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rep_loss = 0.6150788673573154
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| 1728 |
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spearmanr = -0.6828498176100586
|
| 1729 |
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att_loss = 0.9897463148474657
|
| 1730 |
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cls_loss = 0.0
|
| 1731 |
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corr = -0.7117748850690753
|
| 1732 |
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eval_loss = 7.8734676026283426
|
| 1733 |
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global_step = 9649
|
| 1734 |
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loss = 1.6045944517493211
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| 1735 |
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pearson = -0.709273
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| 1736 |
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rep_loss = 0.6148481370809968
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| 1737 |
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spearmanr = -0.7142767894481481
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| 1738 |
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att_loss = 0.9893969886203884
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| 1739 |
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cls_loss = 0.0
|
| 1740 |
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corr = -0.6810498420305643
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| 1741 |
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eval_loss = 7.870151250920397
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| 1742 |
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global_step = 9699
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| 1743 |
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loss = 1.6039605441935616
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| 1744 |
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pearson = -0.67614216
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| 1745 |
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rep_loss = 0.6145635557636819
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| 1746 |
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spearmanr = -0.6859575279370136
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| 1747 |
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att_loss = 0.9890265585410435
|
| 1748 |
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cls_loss = 0.0
|
| 1749 |
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corr = -0.6968055541683893
|
| 1750 |
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eval_loss = 7.871881556003652
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| 1751 |
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global_step = 9749
|
| 1752 |
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loss = 1.6033016119825985
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| 1753 |
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pearson = -0.693416
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| 1754 |
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rep_loss = 0.6142750536433146
|
| 1755 |
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spearmanr = -0.7001951089242419
|
| 1756 |
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att_loss = 0.9888409194210036
|
| 1757 |
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cls_loss = 0.0
|
| 1758 |
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corr = -0.6880641619251389
|
| 1759 |
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eval_loss = 7.869371855512578
|
| 1760 |
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global_step = 9799
|
| 1761 |
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loss = 1.6028592452818988
|
| 1762 |
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pearson = -0.6849472
|
| 1763 |
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rep_loss = 0.6140183260068807
|
| 1764 |
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spearmanr = -0.6911811311813629
|
| 1765 |
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att_loss = 0.988491704081724
|
| 1766 |
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cls_loss = 0.0
|
| 1767 |
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corr = -0.6897414859293881
|
| 1768 |
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eval_loss = 7.869486971104399
|
| 1769 |
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global_step = 9849
|
| 1770 |
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loss = 1.6022341923007313
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| 1771 |
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pearson = -0.68676865
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| 1772 |
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rep_loss = 0.61374248842477
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| 1773 |
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spearmanr = -0.6927143208501703
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| 1774 |
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att_loss = 0.9882730684481266
|
| 1775 |
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cls_loss = 0.0
|
| 1776 |
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corr = -0.6669517117029929
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| 1777 |
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eval_loss = 7.868423116968033
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| 1778 |
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global_step = 9899
|
| 1779 |
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loss = 1.601755654972025
|
| 1780 |
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pearson = -0.6631602
|
| 1781 |
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rep_loss = 0.6134825867406647
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| 1782 |
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spearmanr = -0.6707432185185958
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| 1783 |
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att_loss = 0.9878818478305348
|
| 1784 |
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cls_loss = 0.0
|
| 1785 |
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corr = -0.6890546444616423
|
| 1786 |
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eval_loss = 7.870823261585642
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| 1787 |
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global_step = 9949
|
| 1788 |
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loss = 1.6010923233807703
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| 1789 |
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pearson = -0.68538886
|
| 1790 |
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rep_loss = 0.6132104757359572
|
| 1791 |
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spearmanr = -0.6927204258365842
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| 1792 |
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att_loss = 0.9877077453743757
|
| 1793 |
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cls_loss = 0.0
|
| 1794 |
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corr = -0.6818692652978097
|
| 1795 |
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eval_loss = 7.870371752596916
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| 1796 |
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global_step = 9999
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| 1797 |
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loss = 1.6006665819227033
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| 1798 |
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pearson = -0.67766094
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| 1799 |
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rep_loss = 0.612958836768887
|
| 1800 |
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spearmanr = -0.6860775885179826
|
pytorch_model.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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size 58393320
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vocab.txt
ADDED
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