Instructions to use galthran/maskformer-facade-panoptic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use galthran/maskformer-facade-panoptic with Transformers:
# Load model directly from transformers import AutoImageProcessor, MaskFormerForInstanceSegmentation processor = AutoImageProcessor.from_pretrained("galthran/maskformer-facade-panoptic") model = MaskFormerForInstanceSegmentation.from_pretrained("galthran/maskformer-facade-panoptic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
model with metrics
Browse files- config.json +369 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- rng_state.pth +3 -0
- runs/Mar30_02-42-58_leo-pc/1680133386.6283898/events.out.tfevents.1680133386.leo-pc.3561.1 +3 -0
- runs/Mar30_02-42-58_leo-pc/events.out.tfevents.1680133386.leo-pc.3561.0 +3 -0
- runs/Mar30_02-45-58_leo-pc/1680133560.1533623/events.out.tfevents.1680133560.leo-pc.3714.1 +3 -0
- runs/Mar30_02-45-58_leo-pc/events.out.tfevents.1680133560.leo-pc.3714.0 +3 -0
- runs/Mar30_11-29-54_leo-pc/1680165002.3051672/events.out.tfevents.1680165002.leo-pc.6504.1 +3 -0
- runs/Mar30_11-29-54_leo-pc/events.out.tfevents.1680165002.leo-pc.6504.0 +3 -0
- runs/Mar31_02-25-47_leo-pc/1680218750.7461765/events.out.tfevents.1680218750.leo-pc.11713.1 +3 -0
- runs/Mar31_02-25-47_leo-pc/events.out.tfevents.1680218750.leo-pc.11713.0 +3 -0
- runs/Mar31_02-31-05_leo-pc/1680219069.4820511/events.out.tfevents.1680219069.leo-pc.12743.1 +3 -0
- runs/Mar31_02-31-05_leo-pc/events.out.tfevents.1680219069.leo-pc.12743.0 +3 -0
- runs/Mar31_02-37-05_leo-pc/1680219429.14518/events.out.tfevents.1680219429.leo-pc.13564.1 +3 -0
- runs/Mar31_02-37-05_leo-pc/events.out.tfevents.1680219429.leo-pc.13564.0 +3 -0
- scheduler.pt +3 -0
- trainer_state.json +2104 -0
- training_args.bin +3 -0
config.json
ADDED
|
@@ -0,0 +1,369 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_commit_hash": "5f009df2186c5841582ecd419409b56041180144",
|
| 3 |
+
"_name_or_path": "facebook/maskformer-swin-large-coco",
|
| 4 |
+
"architectures": [
|
| 5 |
+
"MaskFormerForInstanceSegmentation"
|
| 6 |
+
],
|
| 7 |
+
"backbone_config": {
|
| 8 |
+
"_name_or_path": "",
|
| 9 |
+
"add_cross_attention": false,
|
| 10 |
+
"architectures": null,
|
| 11 |
+
"attention_probs_dropout_prob": 0.0,
|
| 12 |
+
"bad_words_ids": null,
|
| 13 |
+
"begin_suppress_tokens": null,
|
| 14 |
+
"bos_token_id": null,
|
| 15 |
+
"chunk_size_feed_forward": 0,
|
| 16 |
+
"cross_attention_hidden_size": null,
|
| 17 |
+
"decoder_start_token_id": null,
|
| 18 |
+
"depths": [
|
| 19 |
+
2,
|
| 20 |
+
2,
|
| 21 |
+
18,
|
| 22 |
+
2
|
| 23 |
+
],
|
| 24 |
+
"diversity_penalty": 0.0,
|
| 25 |
+
"do_sample": false,
|
| 26 |
+
"drop_path_rate": 0.3,
|
| 27 |
+
"early_stopping": false,
|
| 28 |
+
"embed_dim": 192,
|
| 29 |
+
"encoder_no_repeat_ngram_size": 0,
|
| 30 |
+
"encoder_stride": 32,
|
| 31 |
+
"eos_token_id": null,
|
| 32 |
+
"exponential_decay_length_penalty": null,
|
| 33 |
+
"finetuning_task": null,
|
| 34 |
+
"forced_bos_token_id": null,
|
| 35 |
+
"forced_eos_token_id": null,
|
| 36 |
+
"hidden_act": "gelu",
|
| 37 |
+
"hidden_dropout_prob": 0.0,
|
| 38 |
+
"hidden_size": 1536,
|
| 39 |
+
"id2label": {
|
| 40 |
+
"0": "LABEL_0",
|
| 41 |
+
"1": "LABEL_1"
|
| 42 |
+
},
|
| 43 |
+
"image_size": 384,
|
| 44 |
+
"in_channels": 3,
|
| 45 |
+
"initializer_range": 0.02,
|
| 46 |
+
"is_decoder": false,
|
| 47 |
+
"is_encoder_decoder": false,
|
| 48 |
+
"label2id": {
|
| 49 |
+
"LABEL_0": 0,
|
| 50 |
+
"LABEL_1": 1
|
| 51 |
+
},
|
| 52 |
+
"layer_norm_eps": 1e-05,
|
| 53 |
+
"length_penalty": 1.0,
|
| 54 |
+
"max_length": 20,
|
| 55 |
+
"min_length": 0,
|
| 56 |
+
"mlp_ratio": 4.0,
|
| 57 |
+
"model_type": "swin",
|
| 58 |
+
"no_repeat_ngram_size": 0,
|
| 59 |
+
"num_beam_groups": 1,
|
| 60 |
+
"num_beams": 1,
|
| 61 |
+
"num_channels": 3,
|
| 62 |
+
"num_heads": [
|
| 63 |
+
6,
|
| 64 |
+
12,
|
| 65 |
+
24,
|
| 66 |
+
48
|
| 67 |
+
],
|
| 68 |
+
"num_layers": 4,
|
| 69 |
+
"num_return_sequences": 1,
|
| 70 |
+
"out_features": null,
|
| 71 |
+
"output_attentions": false,
|
| 72 |
+
"output_hidden_states": false,
|
| 73 |
+
"output_scores": false,
|
| 74 |
+
"pad_token_id": null,
|
| 75 |
+
"patch_size": 4,
|
| 76 |
+
"path_norm": true,
|
| 77 |
+
"prefix": null,
|
| 78 |
+
"pretrain_img_size": 384,
|
| 79 |
+
"problem_type": null,
|
| 80 |
+
"pruned_heads": {},
|
| 81 |
+
"qkv_bias": true,
|
| 82 |
+
"remove_invalid_values": false,
|
| 83 |
+
"repetition_penalty": 1.0,
|
| 84 |
+
"return_dict": true,
|
| 85 |
+
"return_dict_in_generate": false,
|
| 86 |
+
"sep_token_id": null,
|
| 87 |
+
"stage_names": [
|
| 88 |
+
"stem",
|
| 89 |
+
"stage1",
|
| 90 |
+
"stage2",
|
| 91 |
+
"stage3",
|
| 92 |
+
"stage4"
|
| 93 |
+
],
|
| 94 |
+
"suppress_tokens": null,
|
| 95 |
+
"task_specific_params": null,
|
| 96 |
+
"temperature": 1.0,
|
| 97 |
+
"tf_legacy_loss": false,
|
| 98 |
+
"tie_encoder_decoder": false,
|
| 99 |
+
"tie_word_embeddings": true,
|
| 100 |
+
"tokenizer_class": null,
|
| 101 |
+
"top_k": 50,
|
| 102 |
+
"top_p": 1.0,
|
| 103 |
+
"torch_dtype": null,
|
| 104 |
+
"torchscript": false,
|
| 105 |
+
"transformers_version": "4.27.2",
|
| 106 |
+
"typical_p": 1.0,
|
| 107 |
+
"use_absolute_embeddings": false,
|
| 108 |
+
"use_bfloat16": false,
|
| 109 |
+
"window_size": 12
|
| 110 |
+
},
|
| 111 |
+
"ce_weight": 1.0,
|
| 112 |
+
"cross_entropy_weight": 1.0,
|
| 113 |
+
"decoder_config": {
|
| 114 |
+
"_commit_hash": null,
|
| 115 |
+
"_name_or_path": "",
|
| 116 |
+
"activation_dropout": 0.0,
|
| 117 |
+
"activation_function": "relu",
|
| 118 |
+
"add_cross_attention": false,
|
| 119 |
+
"architectures": null,
|
| 120 |
+
"attention_dropout": 0.0,
|
| 121 |
+
"auxiliary_loss": false,
|
| 122 |
+
"backbone": "resnet50",
|
| 123 |
+
"backbone_config": null,
|
| 124 |
+
"bad_words_ids": null,
|
| 125 |
+
"bbox_cost": 5,
|
| 126 |
+
"bbox_loss_coefficient": 5,
|
| 127 |
+
"begin_suppress_tokens": null,
|
| 128 |
+
"bos_token_id": null,
|
| 129 |
+
"chunk_size_feed_forward": 0,
|
| 130 |
+
"class_cost": 1,
|
| 131 |
+
"cross_attention_hidden_size": null,
|
| 132 |
+
"d_model": 256,
|
| 133 |
+
"decoder_attention_heads": 8,
|
| 134 |
+
"decoder_ffn_dim": 2048,
|
| 135 |
+
"decoder_layerdrop": 0.0,
|
| 136 |
+
"decoder_layers": 6,
|
| 137 |
+
"decoder_start_token_id": null,
|
| 138 |
+
"dice_loss_coefficient": 1,
|
| 139 |
+
"dilation": false,
|
| 140 |
+
"diversity_penalty": 0.0,
|
| 141 |
+
"do_sample": false,
|
| 142 |
+
"dropout": 0.1,
|
| 143 |
+
"early_stopping": false,
|
| 144 |
+
"encoder_attention_heads": 8,
|
| 145 |
+
"encoder_ffn_dim": 2048,
|
| 146 |
+
"encoder_layerdrop": 0.0,
|
| 147 |
+
"encoder_layers": 6,
|
| 148 |
+
"encoder_no_repeat_ngram_size": 0,
|
| 149 |
+
"eos_coefficient": 0.1,
|
| 150 |
+
"eos_token_id": null,
|
| 151 |
+
"exponential_decay_length_penalty": null,
|
| 152 |
+
"finetuning_task": null,
|
| 153 |
+
"forced_bos_token_id": null,
|
| 154 |
+
"forced_eos_token_id": null,
|
| 155 |
+
"giou_cost": 2,
|
| 156 |
+
"giou_loss_coefficient": 2,
|
| 157 |
+
"id2label": {
|
| 158 |
+
"0": "LABEL_0",
|
| 159 |
+
"1": "LABEL_1"
|
| 160 |
+
},
|
| 161 |
+
"init_std": 0.02,
|
| 162 |
+
"init_xavier_std": 1.0,
|
| 163 |
+
"is_decoder": false,
|
| 164 |
+
"is_encoder_decoder": true,
|
| 165 |
+
"label2id": {
|
| 166 |
+
"LABEL_0": 0,
|
| 167 |
+
"LABEL_1": 1
|
| 168 |
+
},
|
| 169 |
+
"length_penalty": 1.0,
|
| 170 |
+
"mask_loss_coefficient": 1,
|
| 171 |
+
"max_length": 20,
|
| 172 |
+
"max_position_embeddings": 1024,
|
| 173 |
+
"min_length": 0,
|
| 174 |
+
"model_type": "detr",
|
| 175 |
+
"no_repeat_ngram_size": 0,
|
| 176 |
+
"num_beam_groups": 1,
|
| 177 |
+
"num_beams": 1,
|
| 178 |
+
"num_channels": 3,
|
| 179 |
+
"num_hidden_layers": 6,
|
| 180 |
+
"num_queries": 100,
|
| 181 |
+
"num_return_sequences": 1,
|
| 182 |
+
"output_attentions": false,
|
| 183 |
+
"output_hidden_states": false,
|
| 184 |
+
"output_scores": false,
|
| 185 |
+
"pad_token_id": null,
|
| 186 |
+
"position_embedding_type": "sine",
|
| 187 |
+
"prefix": null,
|
| 188 |
+
"problem_type": null,
|
| 189 |
+
"pruned_heads": {},
|
| 190 |
+
"remove_invalid_values": false,
|
| 191 |
+
"repetition_penalty": 1.0,
|
| 192 |
+
"return_dict": true,
|
| 193 |
+
"return_dict_in_generate": false,
|
| 194 |
+
"scale_embedding": false,
|
| 195 |
+
"sep_token_id": null,
|
| 196 |
+
"suppress_tokens": null,
|
| 197 |
+
"task_specific_params": null,
|
| 198 |
+
"temperature": 1.0,
|
| 199 |
+
"tf_legacy_loss": false,
|
| 200 |
+
"tie_encoder_decoder": false,
|
| 201 |
+
"tie_word_embeddings": true,
|
| 202 |
+
"tokenizer_class": null,
|
| 203 |
+
"top_k": 50,
|
| 204 |
+
"top_p": 1.0,
|
| 205 |
+
"torch_dtype": null,
|
| 206 |
+
"torchscript": false,
|
| 207 |
+
"transformers_version": "4.17.0.dev0",
|
| 208 |
+
"typical_p": 1.0,
|
| 209 |
+
"use_bfloat16": false,
|
| 210 |
+
"use_pretrained_backbone": true,
|
| 211 |
+
"use_timm_backbone": true
|
| 212 |
+
},
|
| 213 |
+
"dice_weight": 1.0,
|
| 214 |
+
"fpn_feature_size": 256,
|
| 215 |
+
"id2label": {
|
| 216 |
+
"0": "background",
|
| 217 |
+
"1": "building",
|
| 218 |
+
"2": "door",
|
| 219 |
+
"3": "window"
|
| 220 |
+
},
|
| 221 |
+
"init_std": 0.02,
|
| 222 |
+
"init_xavier_std": 1.0,
|
| 223 |
+
"label2id": {
|
| 224 |
+
"airplane": 4,
|
| 225 |
+
"apple": 47,
|
| 226 |
+
"backpack": 24,
|
| 227 |
+
"banana": 46,
|
| 228 |
+
"banner": 80,
|
| 229 |
+
"baseball bat": 34,
|
| 230 |
+
"baseball glove": 35,
|
| 231 |
+
"bear": 21,
|
| 232 |
+
"bed": 59,
|
| 233 |
+
"bench": 13,
|
| 234 |
+
"bicycle": 1,
|
| 235 |
+
"bird": 14,
|
| 236 |
+
"blanket": 81,
|
| 237 |
+
"boat": 8,
|
| 238 |
+
"book": 73,
|
| 239 |
+
"bottle": 39,
|
| 240 |
+
"bowl": 45,
|
| 241 |
+
"bridge": 82,
|
| 242 |
+
"broccoli": 50,
|
| 243 |
+
"building-other-merged": 129,
|
| 244 |
+
"bus": 5,
|
| 245 |
+
"cabinet-merged": 120,
|
| 246 |
+
"cake": 55,
|
| 247 |
+
"car": 2,
|
| 248 |
+
"cardboard": 83,
|
| 249 |
+
"carrot": 51,
|
| 250 |
+
"cat": 15,
|
| 251 |
+
"ceiling-merged": 118,
|
| 252 |
+
"cell phone": 67,
|
| 253 |
+
"chair": 56,
|
| 254 |
+
"clock": 74,
|
| 255 |
+
"couch": 57,
|
| 256 |
+
"counter": 84,
|
| 257 |
+
"cow": 19,
|
| 258 |
+
"cup": 41,
|
| 259 |
+
"curtain": 85,
|
| 260 |
+
"dining table": 60,
|
| 261 |
+
"dirt-merged": 126,
|
| 262 |
+
"dog": 16,
|
| 263 |
+
"donut": 54,
|
| 264 |
+
"door-stuff": 86,
|
| 265 |
+
"elephant": 20,
|
| 266 |
+
"fence-merged": 117,
|
| 267 |
+
"fire hydrant": 10,
|
| 268 |
+
"floor-other-merged": 122,
|
| 269 |
+
"floor-wood": 87,
|
| 270 |
+
"flower": 88,
|
| 271 |
+
"food-other-merged": 128,
|
| 272 |
+
"fork": 42,
|
| 273 |
+
"frisbee": 29,
|
| 274 |
+
"fruit": 89,
|
| 275 |
+
"giraffe": 23,
|
| 276 |
+
"grass-merged": 125,
|
| 277 |
+
"gravel": 90,
|
| 278 |
+
"hair drier": 78,
|
| 279 |
+
"handbag": 26,
|
| 280 |
+
"horse": 17,
|
| 281 |
+
"hot dog": 52,
|
| 282 |
+
"house": 91,
|
| 283 |
+
"keyboard": 66,
|
| 284 |
+
"kite": 33,
|
| 285 |
+
"knife": 43,
|
| 286 |
+
"laptop": 63,
|
| 287 |
+
"light": 92,
|
| 288 |
+
"microwave": 68,
|
| 289 |
+
"mirror-stuff": 93,
|
| 290 |
+
"motorcycle": 3,
|
| 291 |
+
"mountain-merged": 124,
|
| 292 |
+
"mouse": 64,
|
| 293 |
+
"net": 94,
|
| 294 |
+
"orange": 49,
|
| 295 |
+
"oven": 69,
|
| 296 |
+
"paper-merged": 127,
|
| 297 |
+
"parking meter": 12,
|
| 298 |
+
"pavement-merged": 123,
|
| 299 |
+
"person": 0,
|
| 300 |
+
"pillow": 95,
|
| 301 |
+
"pizza": 53,
|
| 302 |
+
"platform": 96,
|
| 303 |
+
"playingfield": 97,
|
| 304 |
+
"potted plant": 58,
|
| 305 |
+
"railroad": 98,
|
| 306 |
+
"refrigerator": 72,
|
| 307 |
+
"remote": 65,
|
| 308 |
+
"river": 99,
|
| 309 |
+
"road": 100,
|
| 310 |
+
"rock-merged": 130,
|
| 311 |
+
"roof": 101,
|
| 312 |
+
"rug-merged": 132,
|
| 313 |
+
"sand": 102,
|
| 314 |
+
"sandwich": 48,
|
| 315 |
+
"scissors": 76,
|
| 316 |
+
"sea": 103,
|
| 317 |
+
"sheep": 18,
|
| 318 |
+
"shelf": 104,
|
| 319 |
+
"sink": 71,
|
| 320 |
+
"skateboard": 36,
|
| 321 |
+
"skis": 30,
|
| 322 |
+
"sky-other-merged": 119,
|
| 323 |
+
"snow": 105,
|
| 324 |
+
"snowboard": 31,
|
| 325 |
+
"spoon": 44,
|
| 326 |
+
"sports ball": 32,
|
| 327 |
+
"stairs": 106,
|
| 328 |
+
"stop sign": 11,
|
| 329 |
+
"suitcase": 28,
|
| 330 |
+
"surfboard": 37,
|
| 331 |
+
"table-merged": 121,
|
| 332 |
+
"teddy bear": 77,
|
| 333 |
+
"tennis racket": 38,
|
| 334 |
+
"tent": 107,
|
| 335 |
+
"tie": 27,
|
| 336 |
+
"toaster": 70,
|
| 337 |
+
"toilet": 61,
|
| 338 |
+
"toothbrush": 79,
|
| 339 |
+
"towel": 108,
|
| 340 |
+
"traffic light": 9,
|
| 341 |
+
"train": 6,
|
| 342 |
+
"tree-merged": 116,
|
| 343 |
+
"truck": 7,
|
| 344 |
+
"tv": 62,
|
| 345 |
+
"umbrella": 25,
|
| 346 |
+
"vase": 75,
|
| 347 |
+
"wall-brick": 109,
|
| 348 |
+
"wall-other-merged": 131,
|
| 349 |
+
"wall-stone": 110,
|
| 350 |
+
"wall-tile": 111,
|
| 351 |
+
"wall-wood": 112,
|
| 352 |
+
"water-other": 113,
|
| 353 |
+
"window-blind": 114,
|
| 354 |
+
"window-other": 115,
|
| 355 |
+
"wine glass": 40,
|
| 356 |
+
"zebra": 22
|
| 357 |
+
},
|
| 358 |
+
"mask_feature_size": 256,
|
| 359 |
+
"mask_weight": 20.0,
|
| 360 |
+
"model_type": "maskformer",
|
| 361 |
+
"no_object_weight": 0.1,
|
| 362 |
+
"num_attention_heads": 8,
|
| 363 |
+
"num_hidden_layers": 6,
|
| 364 |
+
"num_queries": 100,
|
| 365 |
+
"output_auxiliary_logits": null,
|
| 366 |
+
"torch_dtype": "float32",
|
| 367 |
+
"transformers_version": null,
|
| 368 |
+
"use_auxiliary_loss": false
|
| 369 |
+
}
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4ee9972a13f0e672a5864dc6f42216529ca4fbb61a273d4014ae0c5cca88d3a1
|
| 3 |
+
size 1692669047
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:59453a3e33287fd99b99fb746a23eaaacc7b92f2f676fba2d0a977189ee4dcfc
|
| 3 |
+
size 850389869
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8a7adfe4697a47676df74267a3bab26c9f2c4ad4bbb113fff6e189c821c57eb1
|
| 3 |
+
size 14575
|
runs/Mar30_02-42-58_leo-pc/1680133386.6283898/events.out.tfevents.1680133386.leo-pc.3561.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bfcab2bf044f21c8508678e394d1e4ed54357379aa1480ba4341a9436d1cbfc2
|
| 3 |
+
size 5810
|
runs/Mar30_02-42-58_leo-pc/events.out.tfevents.1680133386.leo-pc.3561.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a9041c413d9d8e9cb9af9e8d1c48716613f648d4aa2adc89dc3f921c78b69482
|
| 3 |
+
size 11987
|
runs/Mar30_02-45-58_leo-pc/1680133560.1533623/events.out.tfevents.1680133560.leo-pc.3714.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7e9cfffef788135d0e51a5067e8b789a74ca87b7c4f2d163cba2b2771c1e32b1
|
| 3 |
+
size 5810
|
runs/Mar30_02-45-58_leo-pc/events.out.tfevents.1680133560.leo-pc.3714.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:71a392e713cf41578178d5e9dbcee7ff255e791922e9447a05837240fea40a2b
|
| 3 |
+
size 39599
|
runs/Mar30_11-29-54_leo-pc/1680165002.3051672/events.out.tfevents.1680165002.leo-pc.6504.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3504a77d3c8d5f8185f2547773487d989a0be9f2db27a0fd4c27691c9defdb7e
|
| 3 |
+
size 5810
|
runs/Mar30_11-29-54_leo-pc/events.out.tfevents.1680165002.leo-pc.6504.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9519343923cedc988c8c5ea4129195c8a052998028d6022f2dc7dea8d3e19df5
|
| 3 |
+
size 12148
|
runs/Mar31_02-25-47_leo-pc/1680218750.7461765/events.out.tfevents.1680218750.leo-pc.11713.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2ce25e0f8bfd4b077904182104819d4371f1249fa7d8fc1e145cfd440fe8ec46
|
| 3 |
+
size 5810
|
runs/Mar31_02-25-47_leo-pc/events.out.tfevents.1680218750.leo-pc.11713.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:37663bd2ea25ca96c8eb963bcb012e4792815ac390620ed8b22968a19645bfc0
|
| 3 |
+
size 12141
|
runs/Mar31_02-31-05_leo-pc/1680219069.4820511/events.out.tfevents.1680219069.leo-pc.12743.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:90bc8d1d1345c59271c97d4c2fbf19d7a4a284a2380dfce0e6035785c681bcf4
|
| 3 |
+
size 5810
|
runs/Mar31_02-31-05_leo-pc/events.out.tfevents.1680219069.leo-pc.12743.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1a229f78251c653da05f3ce90b58230f8b7d9a943c4ec4517e27db661c435f3c
|
| 3 |
+
size 11987
|
runs/Mar31_02-37-05_leo-pc/1680219429.14518/events.out.tfevents.1680219429.leo-pc.13564.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9f100f9bac094f1450e919dc41750b0710c325b85646175279f0386d4390fbea
|
| 3 |
+
size 5810
|
runs/Mar31_02-37-05_leo-pc/events.out.tfevents.1680219429.leo-pc.13564.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:21730403b5e51be71fc1fd710040c3f241f7f76ab6e0cc93c0f3dee8a732f19a
|
| 3 |
+
size 98037
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5c8d47ab8f6a5a6f05dfe8bfa1057066f3e7216d49496acb6cca50b7a2fa5ecc
|
| 3 |
+
size 627
|
trainer_state.json
ADDED
|
@@ -0,0 +1,2104 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 37.51465416178195,
|
| 5 |
+
"global_step": 32000,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.12,
|
| 12 |
+
"learning_rate": 5e-06,
|
| 13 |
+
"loss": 0.8323,
|
| 14 |
+
"step": 100
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.23,
|
| 18 |
+
"learning_rate": 5e-06,
|
| 19 |
+
"loss": 0.793,
|
| 20 |
+
"step": 200
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.35,
|
| 24 |
+
"learning_rate": 5e-06,
|
| 25 |
+
"loss": 0.7508,
|
| 26 |
+
"step": 300
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.47,
|
| 30 |
+
"learning_rate": 5e-06,
|
| 31 |
+
"loss": 0.7777,
|
| 32 |
+
"step": 400
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.59,
|
| 36 |
+
"learning_rate": 5e-06,
|
| 37 |
+
"loss": 0.7741,
|
| 38 |
+
"step": 500
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.7,
|
| 42 |
+
"learning_rate": 5e-06,
|
| 43 |
+
"loss": 0.7435,
|
| 44 |
+
"step": 600
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.82,
|
| 48 |
+
"learning_rate": 5e-06,
|
| 49 |
+
"loss": 0.7681,
|
| 50 |
+
"step": 700
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 0.94,
|
| 54 |
+
"learning_rate": 5e-06,
|
| 55 |
+
"loss": 0.7505,
|
| 56 |
+
"step": 800
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 1.06,
|
| 60 |
+
"learning_rate": 5e-06,
|
| 61 |
+
"loss": 0.7285,
|
| 62 |
+
"step": 900
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 1.17,
|
| 66 |
+
"learning_rate": 5e-06,
|
| 67 |
+
"loss": 0.7243,
|
| 68 |
+
"step": 1000
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 1.29,
|
| 72 |
+
"learning_rate": 5e-06,
|
| 73 |
+
"loss": 0.7562,
|
| 74 |
+
"step": 1100
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 1.41,
|
| 78 |
+
"learning_rate": 5e-06,
|
| 79 |
+
"loss": 0.743,
|
| 80 |
+
"step": 1200
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 1.52,
|
| 84 |
+
"learning_rate": 5e-06,
|
| 85 |
+
"loss": 0.7086,
|
| 86 |
+
"step": 1300
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 1.64,
|
| 90 |
+
"learning_rate": 5e-06,
|
| 91 |
+
"loss": 0.7177,
|
| 92 |
+
"step": 1400
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 1.76,
|
| 96 |
+
"learning_rate": 5e-06,
|
| 97 |
+
"loss": 0.727,
|
| 98 |
+
"step": 1500
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 1.76,
|
| 102 |
+
"eval_loss": 0.6887246966362,
|
| 103 |
+
"eval_runtime": 70.0491,
|
| 104 |
+
"eval_samples_per_second": 3.041,
|
| 105 |
+
"eval_steps_per_second": 3.041,
|
| 106 |
+
"step": 1500
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"epoch": 1.88,
|
| 110 |
+
"learning_rate": 5e-06,
|
| 111 |
+
"loss": 0.7781,
|
| 112 |
+
"step": 1600
|
| 113 |
+
},
|
| 114 |
+
{
|
| 115 |
+
"epoch": 1.99,
|
| 116 |
+
"learning_rate": 5e-06,
|
| 117 |
+
"loss": 0.7509,
|
| 118 |
+
"step": 1700
|
| 119 |
+
},
|
| 120 |
+
{
|
| 121 |
+
"epoch": 2.11,
|
| 122 |
+
"learning_rate": 5e-06,
|
| 123 |
+
"loss": 0.7057,
|
| 124 |
+
"step": 1800
|
| 125 |
+
},
|
| 126 |
+
{
|
| 127 |
+
"epoch": 2.23,
|
| 128 |
+
"learning_rate": 5e-06,
|
| 129 |
+
"loss": 0.7292,
|
| 130 |
+
"step": 1900
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"epoch": 2.34,
|
| 134 |
+
"learning_rate": 5e-06,
|
| 135 |
+
"loss": 0.7037,
|
| 136 |
+
"step": 2000
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 2.46,
|
| 140 |
+
"learning_rate": 5e-06,
|
| 141 |
+
"loss": 0.7005,
|
| 142 |
+
"step": 2100
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 2.58,
|
| 146 |
+
"learning_rate": 5e-06,
|
| 147 |
+
"loss": 0.7501,
|
| 148 |
+
"step": 2200
|
| 149 |
+
},
|
| 150 |
+
{
|
| 151 |
+
"epoch": 2.7,
|
| 152 |
+
"learning_rate": 5e-06,
|
| 153 |
+
"loss": 0.7162,
|
| 154 |
+
"step": 2300
|
| 155 |
+
},
|
| 156 |
+
{
|
| 157 |
+
"epoch": 2.81,
|
| 158 |
+
"learning_rate": 5e-06,
|
| 159 |
+
"loss": 0.7428,
|
| 160 |
+
"step": 2400
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"epoch": 2.93,
|
| 164 |
+
"learning_rate": 5e-06,
|
| 165 |
+
"loss": 0.7403,
|
| 166 |
+
"step": 2500
|
| 167 |
+
},
|
| 168 |
+
{
|
| 169 |
+
"epoch": 3.05,
|
| 170 |
+
"learning_rate": 5e-06,
|
| 171 |
+
"loss": 0.7286,
|
| 172 |
+
"step": 2600
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"epoch": 3.17,
|
| 176 |
+
"learning_rate": 5e-06,
|
| 177 |
+
"loss": 0.72,
|
| 178 |
+
"step": 2700
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 3.28,
|
| 182 |
+
"learning_rate": 5e-06,
|
| 183 |
+
"loss": 0.6998,
|
| 184 |
+
"step": 2800
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 3.4,
|
| 188 |
+
"learning_rate": 5e-06,
|
| 189 |
+
"loss": 0.7515,
|
| 190 |
+
"step": 2900
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"epoch": 3.52,
|
| 194 |
+
"learning_rate": 5e-06,
|
| 195 |
+
"loss": 0.7263,
|
| 196 |
+
"step": 3000
|
| 197 |
+
},
|
| 198 |
+
{
|
| 199 |
+
"epoch": 3.52,
|
| 200 |
+
"eval_loss": 0.6762834191322327,
|
| 201 |
+
"eval_runtime": 70.0592,
|
| 202 |
+
"eval_samples_per_second": 3.04,
|
| 203 |
+
"eval_steps_per_second": 3.04,
|
| 204 |
+
"step": 3000
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"epoch": 3.63,
|
| 208 |
+
"learning_rate": 5e-06,
|
| 209 |
+
"loss": 0.6931,
|
| 210 |
+
"step": 3100
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"epoch": 3.75,
|
| 214 |
+
"learning_rate": 5e-06,
|
| 215 |
+
"loss": 0.6907,
|
| 216 |
+
"step": 3200
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 3.87,
|
| 220 |
+
"learning_rate": 5e-06,
|
| 221 |
+
"loss": 0.6818,
|
| 222 |
+
"step": 3300
|
| 223 |
+
},
|
| 224 |
+
{
|
| 225 |
+
"epoch": 3.99,
|
| 226 |
+
"learning_rate": 5e-06,
|
| 227 |
+
"loss": 0.7417,
|
| 228 |
+
"step": 3400
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"epoch": 4.1,
|
| 232 |
+
"learning_rate": 5e-06,
|
| 233 |
+
"loss": 0.6987,
|
| 234 |
+
"step": 3500
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 4.22,
|
| 238 |
+
"learning_rate": 5e-06,
|
| 239 |
+
"loss": 0.6854,
|
| 240 |
+
"step": 3600
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 4.34,
|
| 244 |
+
"learning_rate": 5e-06,
|
| 245 |
+
"loss": 0.7236,
|
| 246 |
+
"step": 3700
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"epoch": 4.45,
|
| 250 |
+
"learning_rate": 5e-06,
|
| 251 |
+
"loss": 0.7045,
|
| 252 |
+
"step": 3800
|
| 253 |
+
},
|
| 254 |
+
{
|
| 255 |
+
"epoch": 4.57,
|
| 256 |
+
"learning_rate": 5e-06,
|
| 257 |
+
"loss": 0.699,
|
| 258 |
+
"step": 3900
|
| 259 |
+
},
|
| 260 |
+
{
|
| 261 |
+
"epoch": 4.69,
|
| 262 |
+
"learning_rate": 5e-06,
|
| 263 |
+
"loss": 0.7179,
|
| 264 |
+
"step": 4000
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"epoch": 4.81,
|
| 268 |
+
"learning_rate": 5e-06,
|
| 269 |
+
"loss": 0.7066,
|
| 270 |
+
"step": 4100
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 4.92,
|
| 274 |
+
"learning_rate": 5e-06,
|
| 275 |
+
"loss": 0.713,
|
| 276 |
+
"step": 4200
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 5.04,
|
| 280 |
+
"learning_rate": 5e-06,
|
| 281 |
+
"loss": 0.6749,
|
| 282 |
+
"step": 4300
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 5.16,
|
| 286 |
+
"learning_rate": 5e-06,
|
| 287 |
+
"loss": 0.6882,
|
| 288 |
+
"step": 4400
|
| 289 |
+
},
|
| 290 |
+
{
|
| 291 |
+
"epoch": 5.28,
|
| 292 |
+
"learning_rate": 5e-06,
|
| 293 |
+
"loss": 0.6809,
|
| 294 |
+
"step": 4500
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"epoch": 5.28,
|
| 298 |
+
"eval_loss": 0.6606600284576416,
|
| 299 |
+
"eval_runtime": 69.4571,
|
| 300 |
+
"eval_samples_per_second": 3.067,
|
| 301 |
+
"eval_steps_per_second": 3.067,
|
| 302 |
+
"step": 4500
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"epoch": 5.39,
|
| 306 |
+
"learning_rate": 5e-06,
|
| 307 |
+
"loss": 0.7433,
|
| 308 |
+
"step": 4600
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 5.51,
|
| 312 |
+
"learning_rate": 5e-06,
|
| 313 |
+
"loss": 0.6881,
|
| 314 |
+
"step": 4700
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 5.63,
|
| 318 |
+
"learning_rate": 5e-06,
|
| 319 |
+
"loss": 0.7343,
|
| 320 |
+
"step": 4800
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 5.74,
|
| 324 |
+
"learning_rate": 5e-06,
|
| 325 |
+
"loss": 0.6675,
|
| 326 |
+
"step": 4900
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 5.86,
|
| 330 |
+
"learning_rate": 5e-06,
|
| 331 |
+
"loss": 0.7187,
|
| 332 |
+
"step": 5000
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 5.98,
|
| 336 |
+
"learning_rate": 5e-06,
|
| 337 |
+
"loss": 0.6837,
|
| 338 |
+
"step": 5100
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 6.1,
|
| 342 |
+
"learning_rate": 5e-06,
|
| 343 |
+
"loss": 0.6825,
|
| 344 |
+
"step": 5200
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 6.21,
|
| 348 |
+
"learning_rate": 5e-06,
|
| 349 |
+
"loss": 0.6976,
|
| 350 |
+
"step": 5300
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 6.33,
|
| 354 |
+
"learning_rate": 5e-06,
|
| 355 |
+
"loss": 0.7055,
|
| 356 |
+
"step": 5400
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"epoch": 6.45,
|
| 360 |
+
"learning_rate": 5e-06,
|
| 361 |
+
"loss": 0.6584,
|
| 362 |
+
"step": 5500
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 6.57,
|
| 366 |
+
"learning_rate": 5e-06,
|
| 367 |
+
"loss": 0.6819,
|
| 368 |
+
"step": 5600
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 6.68,
|
| 372 |
+
"learning_rate": 5e-06,
|
| 373 |
+
"loss": 0.6652,
|
| 374 |
+
"step": 5700
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 6.8,
|
| 378 |
+
"learning_rate": 5e-06,
|
| 379 |
+
"loss": 0.6728,
|
| 380 |
+
"step": 5800
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 6.92,
|
| 384 |
+
"learning_rate": 5e-06,
|
| 385 |
+
"loss": 0.6916,
|
| 386 |
+
"step": 5900
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"epoch": 7.03,
|
| 390 |
+
"learning_rate": 5e-06,
|
| 391 |
+
"loss": 0.657,
|
| 392 |
+
"step": 6000
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"epoch": 7.03,
|
| 396 |
+
"eval_loss": 0.6467106938362122,
|
| 397 |
+
"eval_runtime": 69.8327,
|
| 398 |
+
"eval_samples_per_second": 3.05,
|
| 399 |
+
"eval_steps_per_second": 3.05,
|
| 400 |
+
"step": 6000
|
| 401 |
+
},
|
| 402 |
+
{
|
| 403 |
+
"epoch": 7.15,
|
| 404 |
+
"learning_rate": 5e-06,
|
| 405 |
+
"loss": 0.7331,
|
| 406 |
+
"step": 6100
|
| 407 |
+
},
|
| 408 |
+
{
|
| 409 |
+
"epoch": 7.27,
|
| 410 |
+
"learning_rate": 5e-06,
|
| 411 |
+
"loss": 0.6598,
|
| 412 |
+
"step": 6200
|
| 413 |
+
},
|
| 414 |
+
{
|
| 415 |
+
"epoch": 7.39,
|
| 416 |
+
"learning_rate": 5e-06,
|
| 417 |
+
"loss": 0.6602,
|
| 418 |
+
"step": 6300
|
| 419 |
+
},
|
| 420 |
+
{
|
| 421 |
+
"epoch": 7.5,
|
| 422 |
+
"learning_rate": 5e-06,
|
| 423 |
+
"loss": 0.6819,
|
| 424 |
+
"step": 6400
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"epoch": 7.62,
|
| 428 |
+
"learning_rate": 5e-06,
|
| 429 |
+
"loss": 0.6764,
|
| 430 |
+
"step": 6500
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 7.74,
|
| 434 |
+
"learning_rate": 5e-06,
|
| 435 |
+
"loss": 0.6674,
|
| 436 |
+
"step": 6600
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 7.85,
|
| 440 |
+
"learning_rate": 5e-06,
|
| 441 |
+
"loss": 0.6848,
|
| 442 |
+
"step": 6700
|
| 443 |
+
},
|
| 444 |
+
{
|
| 445 |
+
"epoch": 7.97,
|
| 446 |
+
"learning_rate": 5e-06,
|
| 447 |
+
"loss": 0.6446,
|
| 448 |
+
"step": 6800
|
| 449 |
+
},
|
| 450 |
+
{
|
| 451 |
+
"epoch": 8.09,
|
| 452 |
+
"learning_rate": 5e-06,
|
| 453 |
+
"loss": 0.6601,
|
| 454 |
+
"step": 6900
|
| 455 |
+
},
|
| 456 |
+
{
|
| 457 |
+
"epoch": 8.21,
|
| 458 |
+
"learning_rate": 5e-06,
|
| 459 |
+
"loss": 0.6649,
|
| 460 |
+
"step": 7000
|
| 461 |
+
},
|
| 462 |
+
{
|
| 463 |
+
"epoch": 8.32,
|
| 464 |
+
"learning_rate": 5e-06,
|
| 465 |
+
"loss": 0.657,
|
| 466 |
+
"step": 7100
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"epoch": 8.44,
|
| 470 |
+
"learning_rate": 5e-06,
|
| 471 |
+
"loss": 0.6326,
|
| 472 |
+
"step": 7200
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 8.56,
|
| 476 |
+
"learning_rate": 5e-06,
|
| 477 |
+
"loss": 0.6541,
|
| 478 |
+
"step": 7300
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 8.68,
|
| 482 |
+
"learning_rate": 5e-06,
|
| 483 |
+
"loss": 0.6579,
|
| 484 |
+
"step": 7400
|
| 485 |
+
},
|
| 486 |
+
{
|
| 487 |
+
"epoch": 8.79,
|
| 488 |
+
"learning_rate": 5e-06,
|
| 489 |
+
"loss": 0.6784,
|
| 490 |
+
"step": 7500
|
| 491 |
+
},
|
| 492 |
+
{
|
| 493 |
+
"epoch": 8.79,
|
| 494 |
+
"eval_loss": 0.6341073513031006,
|
| 495 |
+
"eval_runtime": 70.1746,
|
| 496 |
+
"eval_samples_per_second": 3.035,
|
| 497 |
+
"eval_steps_per_second": 3.035,
|
| 498 |
+
"step": 7500
|
| 499 |
+
},
|
| 500 |
+
{
|
| 501 |
+
"epoch": 8.91,
|
| 502 |
+
"learning_rate": 5e-06,
|
| 503 |
+
"loss": 0.6889,
|
| 504 |
+
"step": 7600
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"epoch": 9.03,
|
| 508 |
+
"learning_rate": 5e-06,
|
| 509 |
+
"loss": 0.6752,
|
| 510 |
+
"step": 7700
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"epoch": 9.14,
|
| 514 |
+
"learning_rate": 5e-06,
|
| 515 |
+
"loss": 0.6654,
|
| 516 |
+
"step": 7800
|
| 517 |
+
},
|
| 518 |
+
{
|
| 519 |
+
"epoch": 9.26,
|
| 520 |
+
"learning_rate": 5e-06,
|
| 521 |
+
"loss": 0.6516,
|
| 522 |
+
"step": 7900
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 9.38,
|
| 526 |
+
"learning_rate": 5e-06,
|
| 527 |
+
"loss": 0.6847,
|
| 528 |
+
"step": 8000
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 9.5,
|
| 532 |
+
"learning_rate": 5e-06,
|
| 533 |
+
"loss": 0.6396,
|
| 534 |
+
"step": 8100
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 9.61,
|
| 538 |
+
"learning_rate": 5e-06,
|
| 539 |
+
"loss": 0.6484,
|
| 540 |
+
"step": 8200
|
| 541 |
+
},
|
| 542 |
+
{
|
| 543 |
+
"epoch": 9.73,
|
| 544 |
+
"learning_rate": 5e-06,
|
| 545 |
+
"loss": 0.6396,
|
| 546 |
+
"step": 8300
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"epoch": 9.85,
|
| 550 |
+
"learning_rate": 5e-06,
|
| 551 |
+
"loss": 0.6951,
|
| 552 |
+
"step": 8400
|
| 553 |
+
},
|
| 554 |
+
{
|
| 555 |
+
"epoch": 9.96,
|
| 556 |
+
"learning_rate": 5e-06,
|
| 557 |
+
"loss": 0.641,
|
| 558 |
+
"step": 8500
|
| 559 |
+
},
|
| 560 |
+
{
|
| 561 |
+
"epoch": 10.08,
|
| 562 |
+
"learning_rate": 5e-06,
|
| 563 |
+
"loss": 0.6379,
|
| 564 |
+
"step": 8600
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 10.2,
|
| 568 |
+
"learning_rate": 5e-06,
|
| 569 |
+
"loss": 0.6264,
|
| 570 |
+
"step": 8700
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 10.32,
|
| 574 |
+
"learning_rate": 5e-06,
|
| 575 |
+
"loss": 0.6364,
|
| 576 |
+
"step": 8800
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 10.43,
|
| 580 |
+
"learning_rate": 5e-06,
|
| 581 |
+
"loss": 0.676,
|
| 582 |
+
"step": 8900
|
| 583 |
+
},
|
| 584 |
+
{
|
| 585 |
+
"epoch": 10.55,
|
| 586 |
+
"learning_rate": 5e-06,
|
| 587 |
+
"loss": 0.6756,
|
| 588 |
+
"step": 9000
|
| 589 |
+
},
|
| 590 |
+
{
|
| 591 |
+
"epoch": 10.55,
|
| 592 |
+
"eval_loss": 0.6359875202178955,
|
| 593 |
+
"eval_runtime": 70.4519,
|
| 594 |
+
"eval_samples_per_second": 3.023,
|
| 595 |
+
"eval_steps_per_second": 3.023,
|
| 596 |
+
"step": 9000
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"epoch": 10.67,
|
| 600 |
+
"learning_rate": 5e-06,
|
| 601 |
+
"loss": 0.6641,
|
| 602 |
+
"step": 9100
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 10.79,
|
| 606 |
+
"learning_rate": 5e-06,
|
| 607 |
+
"loss": 0.6126,
|
| 608 |
+
"step": 9200
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 10.9,
|
| 612 |
+
"learning_rate": 5e-06,
|
| 613 |
+
"loss": 0.6538,
|
| 614 |
+
"step": 9300
|
| 615 |
+
},
|
| 616 |
+
{
|
| 617 |
+
"epoch": 11.02,
|
| 618 |
+
"learning_rate": 5e-06,
|
| 619 |
+
"loss": 0.641,
|
| 620 |
+
"step": 9400
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 11.14,
|
| 624 |
+
"learning_rate": 5e-06,
|
| 625 |
+
"loss": 0.6501,
|
| 626 |
+
"step": 9500
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 11.25,
|
| 630 |
+
"learning_rate": 5e-06,
|
| 631 |
+
"loss": 0.647,
|
| 632 |
+
"step": 9600
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 11.37,
|
| 636 |
+
"learning_rate": 5e-06,
|
| 637 |
+
"loss": 0.6463,
|
| 638 |
+
"step": 9700
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"epoch": 11.49,
|
| 642 |
+
"learning_rate": 5e-06,
|
| 643 |
+
"loss": 0.6507,
|
| 644 |
+
"step": 9800
|
| 645 |
+
},
|
| 646 |
+
{
|
| 647 |
+
"epoch": 11.61,
|
| 648 |
+
"learning_rate": 5e-06,
|
| 649 |
+
"loss": 0.6525,
|
| 650 |
+
"step": 9900
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"epoch": 11.72,
|
| 654 |
+
"learning_rate": 5e-06,
|
| 655 |
+
"loss": 0.6194,
|
| 656 |
+
"step": 10000
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"epoch": 11.84,
|
| 660 |
+
"learning_rate": 5e-06,
|
| 661 |
+
"loss": 0.6338,
|
| 662 |
+
"step": 10100
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 11.96,
|
| 666 |
+
"learning_rate": 5e-06,
|
| 667 |
+
"loss": 0.6492,
|
| 668 |
+
"step": 10200
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 12.08,
|
| 672 |
+
"learning_rate": 5e-06,
|
| 673 |
+
"loss": 0.6531,
|
| 674 |
+
"step": 10300
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 12.19,
|
| 678 |
+
"learning_rate": 5e-06,
|
| 679 |
+
"loss": 0.6073,
|
| 680 |
+
"step": 10400
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"epoch": 12.31,
|
| 684 |
+
"learning_rate": 5e-06,
|
| 685 |
+
"loss": 0.6307,
|
| 686 |
+
"step": 10500
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"epoch": 12.31,
|
| 690 |
+
"eval_loss": 0.6309817433357239,
|
| 691 |
+
"eval_runtime": 70.2077,
|
| 692 |
+
"eval_samples_per_second": 3.034,
|
| 693 |
+
"eval_steps_per_second": 3.034,
|
| 694 |
+
"step": 10500
|
| 695 |
+
},
|
| 696 |
+
{
|
| 697 |
+
"epoch": 12.43,
|
| 698 |
+
"learning_rate": 5e-06,
|
| 699 |
+
"loss": 0.6608,
|
| 700 |
+
"step": 10600
|
| 701 |
+
},
|
| 702 |
+
{
|
| 703 |
+
"epoch": 12.54,
|
| 704 |
+
"learning_rate": 5e-06,
|
| 705 |
+
"loss": 0.6252,
|
| 706 |
+
"step": 10700
|
| 707 |
+
},
|
| 708 |
+
{
|
| 709 |
+
"epoch": 12.66,
|
| 710 |
+
"learning_rate": 5e-06,
|
| 711 |
+
"loss": 0.6258,
|
| 712 |
+
"step": 10800
|
| 713 |
+
},
|
| 714 |
+
{
|
| 715 |
+
"epoch": 12.78,
|
| 716 |
+
"learning_rate": 5e-06,
|
| 717 |
+
"loss": 0.6504,
|
| 718 |
+
"step": 10900
|
| 719 |
+
},
|
| 720 |
+
{
|
| 721 |
+
"epoch": 12.9,
|
| 722 |
+
"learning_rate": 5e-06,
|
| 723 |
+
"loss": 0.6281,
|
| 724 |
+
"step": 11000
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 13.01,
|
| 728 |
+
"learning_rate": 5e-06,
|
| 729 |
+
"loss": 0.6398,
|
| 730 |
+
"step": 11100
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 13.13,
|
| 734 |
+
"learning_rate": 5e-06,
|
| 735 |
+
"loss": 0.6318,
|
| 736 |
+
"step": 11200
|
| 737 |
+
},
|
| 738 |
+
{
|
| 739 |
+
"epoch": 13.25,
|
| 740 |
+
"learning_rate": 5e-06,
|
| 741 |
+
"loss": 0.6162,
|
| 742 |
+
"step": 11300
|
| 743 |
+
},
|
| 744 |
+
{
|
| 745 |
+
"epoch": 13.36,
|
| 746 |
+
"learning_rate": 5e-06,
|
| 747 |
+
"loss": 0.6101,
|
| 748 |
+
"step": 11400
|
| 749 |
+
},
|
| 750 |
+
{
|
| 751 |
+
"epoch": 13.48,
|
| 752 |
+
"learning_rate": 5e-06,
|
| 753 |
+
"loss": 0.6124,
|
| 754 |
+
"step": 11500
|
| 755 |
+
},
|
| 756 |
+
{
|
| 757 |
+
"epoch": 13.6,
|
| 758 |
+
"learning_rate": 5e-06,
|
| 759 |
+
"loss": 0.5994,
|
| 760 |
+
"step": 11600
|
| 761 |
+
},
|
| 762 |
+
{
|
| 763 |
+
"epoch": 13.72,
|
| 764 |
+
"learning_rate": 5e-06,
|
| 765 |
+
"loss": 0.6599,
|
| 766 |
+
"step": 11700
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 13.83,
|
| 770 |
+
"learning_rate": 5e-06,
|
| 771 |
+
"loss": 0.6192,
|
| 772 |
+
"step": 11800
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 13.95,
|
| 776 |
+
"learning_rate": 5e-06,
|
| 777 |
+
"loss": 0.6341,
|
| 778 |
+
"step": 11900
|
| 779 |
+
},
|
| 780 |
+
{
|
| 781 |
+
"epoch": 14.07,
|
| 782 |
+
"learning_rate": 5e-06,
|
| 783 |
+
"loss": 0.6155,
|
| 784 |
+
"step": 12000
|
| 785 |
+
},
|
| 786 |
+
{
|
| 787 |
+
"epoch": 14.07,
|
| 788 |
+
"eval_loss": 0.63248211145401,
|
| 789 |
+
"eval_runtime": 70.8191,
|
| 790 |
+
"eval_samples_per_second": 3.008,
|
| 791 |
+
"eval_steps_per_second": 3.008,
|
| 792 |
+
"step": 12000
|
| 793 |
+
},
|
| 794 |
+
{
|
| 795 |
+
"epoch": 14.19,
|
| 796 |
+
"learning_rate": 5e-06,
|
| 797 |
+
"loss": 0.6562,
|
| 798 |
+
"step": 12100
|
| 799 |
+
},
|
| 800 |
+
{
|
| 801 |
+
"epoch": 14.3,
|
| 802 |
+
"learning_rate": 5e-06,
|
| 803 |
+
"loss": 0.633,
|
| 804 |
+
"step": 12200
|
| 805 |
+
},
|
| 806 |
+
{
|
| 807 |
+
"epoch": 14.42,
|
| 808 |
+
"learning_rate": 5e-06,
|
| 809 |
+
"loss": 0.6169,
|
| 810 |
+
"step": 12300
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"epoch": 14.54,
|
| 814 |
+
"learning_rate": 5e-06,
|
| 815 |
+
"loss": 0.6312,
|
| 816 |
+
"step": 12400
|
| 817 |
+
},
|
| 818 |
+
{
|
| 819 |
+
"epoch": 14.65,
|
| 820 |
+
"learning_rate": 5e-06,
|
| 821 |
+
"loss": 0.6401,
|
| 822 |
+
"step": 12500
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 14.77,
|
| 826 |
+
"learning_rate": 5e-06,
|
| 827 |
+
"loss": 0.6365,
|
| 828 |
+
"step": 12600
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 14.89,
|
| 832 |
+
"learning_rate": 5e-06,
|
| 833 |
+
"loss": 0.6286,
|
| 834 |
+
"step": 12700
|
| 835 |
+
},
|
| 836 |
+
{
|
| 837 |
+
"epoch": 15.01,
|
| 838 |
+
"learning_rate": 5e-06,
|
| 839 |
+
"loss": 0.5877,
|
| 840 |
+
"step": 12800
|
| 841 |
+
},
|
| 842 |
+
{
|
| 843 |
+
"epoch": 15.12,
|
| 844 |
+
"learning_rate": 5e-06,
|
| 845 |
+
"loss": 0.6334,
|
| 846 |
+
"step": 12900
|
| 847 |
+
},
|
| 848 |
+
{
|
| 849 |
+
"epoch": 15.24,
|
| 850 |
+
"learning_rate": 5e-06,
|
| 851 |
+
"loss": 0.5785,
|
| 852 |
+
"step": 13000
|
| 853 |
+
},
|
| 854 |
+
{
|
| 855 |
+
"epoch": 15.36,
|
| 856 |
+
"learning_rate": 5e-06,
|
| 857 |
+
"loss": 0.6155,
|
| 858 |
+
"step": 13100
|
| 859 |
+
},
|
| 860 |
+
{
|
| 861 |
+
"epoch": 15.47,
|
| 862 |
+
"learning_rate": 5e-06,
|
| 863 |
+
"loss": 0.6404,
|
| 864 |
+
"step": 13200
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 15.59,
|
| 868 |
+
"learning_rate": 5e-06,
|
| 869 |
+
"loss": 0.6302,
|
| 870 |
+
"step": 13300
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 15.71,
|
| 874 |
+
"learning_rate": 5e-06,
|
| 875 |
+
"loss": 0.6154,
|
| 876 |
+
"step": 13400
|
| 877 |
+
},
|
| 878 |
+
{
|
| 879 |
+
"epoch": 15.83,
|
| 880 |
+
"learning_rate": 5e-06,
|
| 881 |
+
"loss": 0.6119,
|
| 882 |
+
"step": 13500
|
| 883 |
+
},
|
| 884 |
+
{
|
| 885 |
+
"epoch": 15.83,
|
| 886 |
+
"eval_loss": 0.6228322386741638,
|
| 887 |
+
"eval_runtime": 70.1345,
|
| 888 |
+
"eval_samples_per_second": 3.037,
|
| 889 |
+
"eval_steps_per_second": 3.037,
|
| 890 |
+
"step": 13500
|
| 891 |
+
},
|
| 892 |
+
{
|
| 893 |
+
"epoch": 15.94,
|
| 894 |
+
"learning_rate": 5e-06,
|
| 895 |
+
"loss": 0.6193,
|
| 896 |
+
"step": 13600
|
| 897 |
+
},
|
| 898 |
+
{
|
| 899 |
+
"epoch": 16.06,
|
| 900 |
+
"learning_rate": 5e-06,
|
| 901 |
+
"loss": 0.6161,
|
| 902 |
+
"step": 13700
|
| 903 |
+
},
|
| 904 |
+
{
|
| 905 |
+
"epoch": 16.18,
|
| 906 |
+
"learning_rate": 5e-06,
|
| 907 |
+
"loss": 0.5785,
|
| 908 |
+
"step": 13800
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"epoch": 16.3,
|
| 912 |
+
"learning_rate": 5e-06,
|
| 913 |
+
"loss": 0.6043,
|
| 914 |
+
"step": 13900
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"epoch": 16.41,
|
| 918 |
+
"learning_rate": 5e-06,
|
| 919 |
+
"loss": 0.6205,
|
| 920 |
+
"step": 14000
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 16.53,
|
| 924 |
+
"learning_rate": 5e-06,
|
| 925 |
+
"loss": 0.6321,
|
| 926 |
+
"step": 14100
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 16.65,
|
| 930 |
+
"learning_rate": 5e-06,
|
| 931 |
+
"loss": 0.5996,
|
| 932 |
+
"step": 14200
|
| 933 |
+
},
|
| 934 |
+
{
|
| 935 |
+
"epoch": 16.76,
|
| 936 |
+
"learning_rate": 5e-06,
|
| 937 |
+
"loss": 0.6232,
|
| 938 |
+
"step": 14300
|
| 939 |
+
},
|
| 940 |
+
{
|
| 941 |
+
"epoch": 16.88,
|
| 942 |
+
"learning_rate": 5e-06,
|
| 943 |
+
"loss": 0.6148,
|
| 944 |
+
"step": 14400
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 17.0,
|
| 948 |
+
"learning_rate": 5e-06,
|
| 949 |
+
"loss": 0.602,
|
| 950 |
+
"step": 14500
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 17.12,
|
| 954 |
+
"learning_rate": 5e-06,
|
| 955 |
+
"loss": 0.5716,
|
| 956 |
+
"step": 14600
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 17.23,
|
| 960 |
+
"learning_rate": 5e-06,
|
| 961 |
+
"loss": 0.629,
|
| 962 |
+
"step": 14700
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 17.35,
|
| 966 |
+
"learning_rate": 5e-06,
|
| 967 |
+
"loss": 0.6134,
|
| 968 |
+
"step": 14800
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 17.47,
|
| 972 |
+
"learning_rate": 5e-06,
|
| 973 |
+
"loss": 0.6023,
|
| 974 |
+
"step": 14900
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 17.58,
|
| 978 |
+
"learning_rate": 5e-06,
|
| 979 |
+
"loss": 0.5943,
|
| 980 |
+
"step": 15000
|
| 981 |
+
},
|
| 982 |
+
{
|
| 983 |
+
"epoch": 17.58,
|
| 984 |
+
"eval_loss": 0.623548686504364,
|
| 985 |
+
"eval_runtime": 70.4978,
|
| 986 |
+
"eval_samples_per_second": 3.021,
|
| 987 |
+
"eval_steps_per_second": 3.021,
|
| 988 |
+
"step": 15000
|
| 989 |
+
},
|
| 990 |
+
{
|
| 991 |
+
"epoch": 17.7,
|
| 992 |
+
"learning_rate": 5e-06,
|
| 993 |
+
"loss": 0.6092,
|
| 994 |
+
"step": 15100
|
| 995 |
+
},
|
| 996 |
+
{
|
| 997 |
+
"epoch": 17.82,
|
| 998 |
+
"learning_rate": 5e-06,
|
| 999 |
+
"loss": 0.6172,
|
| 1000 |
+
"step": 15200
|
| 1001 |
+
},
|
| 1002 |
+
{
|
| 1003 |
+
"epoch": 17.94,
|
| 1004 |
+
"learning_rate": 5e-06,
|
| 1005 |
+
"loss": 0.6247,
|
| 1006 |
+
"step": 15300
|
| 1007 |
+
},
|
| 1008 |
+
{
|
| 1009 |
+
"epoch": 18.05,
|
| 1010 |
+
"learning_rate": 5e-06,
|
| 1011 |
+
"loss": 0.6043,
|
| 1012 |
+
"step": 15400
|
| 1013 |
+
},
|
| 1014 |
+
{
|
| 1015 |
+
"epoch": 18.17,
|
| 1016 |
+
"learning_rate": 5e-06,
|
| 1017 |
+
"loss": 0.6186,
|
| 1018 |
+
"step": 15500
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 18.29,
|
| 1022 |
+
"learning_rate": 5e-06,
|
| 1023 |
+
"loss": 0.5877,
|
| 1024 |
+
"step": 15600
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 18.41,
|
| 1028 |
+
"learning_rate": 5e-06,
|
| 1029 |
+
"loss": 0.5993,
|
| 1030 |
+
"step": 15700
|
| 1031 |
+
},
|
| 1032 |
+
{
|
| 1033 |
+
"epoch": 18.52,
|
| 1034 |
+
"learning_rate": 5e-06,
|
| 1035 |
+
"loss": 0.5949,
|
| 1036 |
+
"step": 15800
|
| 1037 |
+
},
|
| 1038 |
+
{
|
| 1039 |
+
"epoch": 18.64,
|
| 1040 |
+
"learning_rate": 5e-06,
|
| 1041 |
+
"loss": 0.5775,
|
| 1042 |
+
"step": 15900
|
| 1043 |
+
},
|
| 1044 |
+
{
|
| 1045 |
+
"epoch": 18.76,
|
| 1046 |
+
"learning_rate": 5e-06,
|
| 1047 |
+
"loss": 0.6147,
|
| 1048 |
+
"step": 16000
|
| 1049 |
+
},
|
| 1050 |
+
{
|
| 1051 |
+
"epoch": 18.87,
|
| 1052 |
+
"learning_rate": 5e-06,
|
| 1053 |
+
"loss": 0.5973,
|
| 1054 |
+
"step": 16100
|
| 1055 |
+
},
|
| 1056 |
+
{
|
| 1057 |
+
"epoch": 18.99,
|
| 1058 |
+
"learning_rate": 5e-06,
|
| 1059 |
+
"loss": 0.6103,
|
| 1060 |
+
"step": 16200
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"epoch": 19.11,
|
| 1064 |
+
"learning_rate": 5e-06,
|
| 1065 |
+
"loss": 0.6024,
|
| 1066 |
+
"step": 16300
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 19.23,
|
| 1070 |
+
"learning_rate": 5e-06,
|
| 1071 |
+
"loss": 0.5729,
|
| 1072 |
+
"step": 16400
|
| 1073 |
+
},
|
| 1074 |
+
{
|
| 1075 |
+
"epoch": 19.34,
|
| 1076 |
+
"learning_rate": 5e-06,
|
| 1077 |
+
"loss": 0.6012,
|
| 1078 |
+
"step": 16500
|
| 1079 |
+
},
|
| 1080 |
+
{
|
| 1081 |
+
"epoch": 19.34,
|
| 1082 |
+
"eval_loss": 0.6155942678451538,
|
| 1083 |
+
"eval_runtime": 70.5596,
|
| 1084 |
+
"eval_samples_per_second": 3.019,
|
| 1085 |
+
"eval_steps_per_second": 3.019,
|
| 1086 |
+
"step": 16500
|
| 1087 |
+
},
|
| 1088 |
+
{
|
| 1089 |
+
"epoch": 19.46,
|
| 1090 |
+
"learning_rate": 5e-06,
|
| 1091 |
+
"loss": 0.6123,
|
| 1092 |
+
"step": 16600
|
| 1093 |
+
},
|
| 1094 |
+
{
|
| 1095 |
+
"epoch": 19.58,
|
| 1096 |
+
"learning_rate": 5e-06,
|
| 1097 |
+
"loss": 0.5937,
|
| 1098 |
+
"step": 16700
|
| 1099 |
+
},
|
| 1100 |
+
{
|
| 1101 |
+
"epoch": 19.7,
|
| 1102 |
+
"learning_rate": 5e-06,
|
| 1103 |
+
"loss": 0.5824,
|
| 1104 |
+
"step": 16800
|
| 1105 |
+
},
|
| 1106 |
+
{
|
| 1107 |
+
"epoch": 19.81,
|
| 1108 |
+
"learning_rate": 5e-06,
|
| 1109 |
+
"loss": 0.6433,
|
| 1110 |
+
"step": 16900
|
| 1111 |
+
},
|
| 1112 |
+
{
|
| 1113 |
+
"epoch": 19.93,
|
| 1114 |
+
"learning_rate": 5e-06,
|
| 1115 |
+
"loss": 0.5799,
|
| 1116 |
+
"step": 17000
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 20.05,
|
| 1120 |
+
"learning_rate": 5e-06,
|
| 1121 |
+
"loss": 0.593,
|
| 1122 |
+
"step": 17100
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 20.16,
|
| 1126 |
+
"learning_rate": 5e-06,
|
| 1127 |
+
"loss": 0.5909,
|
| 1128 |
+
"step": 17200
|
| 1129 |
+
},
|
| 1130 |
+
{
|
| 1131 |
+
"epoch": 20.28,
|
| 1132 |
+
"learning_rate": 5e-06,
|
| 1133 |
+
"loss": 0.5918,
|
| 1134 |
+
"step": 17300
|
| 1135 |
+
},
|
| 1136 |
+
{
|
| 1137 |
+
"epoch": 20.4,
|
| 1138 |
+
"learning_rate": 5e-06,
|
| 1139 |
+
"loss": 0.5908,
|
| 1140 |
+
"step": 17400
|
| 1141 |
+
},
|
| 1142 |
+
{
|
| 1143 |
+
"epoch": 20.52,
|
| 1144 |
+
"learning_rate": 5e-06,
|
| 1145 |
+
"loss": 0.5932,
|
| 1146 |
+
"step": 17500
|
| 1147 |
+
},
|
| 1148 |
+
{
|
| 1149 |
+
"epoch": 20.63,
|
| 1150 |
+
"learning_rate": 5e-06,
|
| 1151 |
+
"loss": 0.6085,
|
| 1152 |
+
"step": 17600
|
| 1153 |
+
},
|
| 1154 |
+
{
|
| 1155 |
+
"epoch": 20.75,
|
| 1156 |
+
"learning_rate": 5e-06,
|
| 1157 |
+
"loss": 0.5737,
|
| 1158 |
+
"step": 17700
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 20.87,
|
| 1162 |
+
"learning_rate": 5e-06,
|
| 1163 |
+
"loss": 0.5926,
|
| 1164 |
+
"step": 17800
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 20.98,
|
| 1168 |
+
"learning_rate": 5e-06,
|
| 1169 |
+
"loss": 0.606,
|
| 1170 |
+
"step": 17900
|
| 1171 |
+
},
|
| 1172 |
+
{
|
| 1173 |
+
"epoch": 21.1,
|
| 1174 |
+
"learning_rate": 5e-06,
|
| 1175 |
+
"loss": 0.5834,
|
| 1176 |
+
"step": 18000
|
| 1177 |
+
},
|
| 1178 |
+
{
|
| 1179 |
+
"epoch": 21.1,
|
| 1180 |
+
"eval_loss": 0.6064698100090027,
|
| 1181 |
+
"eval_runtime": 70.551,
|
| 1182 |
+
"eval_samples_per_second": 3.019,
|
| 1183 |
+
"eval_steps_per_second": 3.019,
|
| 1184 |
+
"step": 18000
|
| 1185 |
+
},
|
| 1186 |
+
{
|
| 1187 |
+
"epoch": 21.22,
|
| 1188 |
+
"learning_rate": 5e-06,
|
| 1189 |
+
"loss": 0.57,
|
| 1190 |
+
"step": 18100
|
| 1191 |
+
},
|
| 1192 |
+
{
|
| 1193 |
+
"epoch": 21.34,
|
| 1194 |
+
"learning_rate": 5e-06,
|
| 1195 |
+
"loss": 0.5878,
|
| 1196 |
+
"step": 18200
|
| 1197 |
+
},
|
| 1198 |
+
{
|
| 1199 |
+
"epoch": 21.45,
|
| 1200 |
+
"learning_rate": 5e-06,
|
| 1201 |
+
"loss": 0.5623,
|
| 1202 |
+
"step": 18300
|
| 1203 |
+
},
|
| 1204 |
+
{
|
| 1205 |
+
"epoch": 21.57,
|
| 1206 |
+
"learning_rate": 5e-06,
|
| 1207 |
+
"loss": 0.5978,
|
| 1208 |
+
"step": 18400
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"epoch": 21.69,
|
| 1212 |
+
"learning_rate": 5e-06,
|
| 1213 |
+
"loss": 0.594,
|
| 1214 |
+
"step": 18500
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 21.81,
|
| 1218 |
+
"learning_rate": 5e-06,
|
| 1219 |
+
"loss": 0.6013,
|
| 1220 |
+
"step": 18600
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 21.92,
|
| 1224 |
+
"learning_rate": 5e-06,
|
| 1225 |
+
"loss": 0.5576,
|
| 1226 |
+
"step": 18700
|
| 1227 |
+
},
|
| 1228 |
+
{
|
| 1229 |
+
"epoch": 22.04,
|
| 1230 |
+
"learning_rate": 5e-06,
|
| 1231 |
+
"loss": 0.5794,
|
| 1232 |
+
"step": 18800
|
| 1233 |
+
},
|
| 1234 |
+
{
|
| 1235 |
+
"epoch": 22.16,
|
| 1236 |
+
"learning_rate": 5e-06,
|
| 1237 |
+
"loss": 0.5863,
|
| 1238 |
+
"step": 18900
|
| 1239 |
+
},
|
| 1240 |
+
{
|
| 1241 |
+
"epoch": 22.27,
|
| 1242 |
+
"learning_rate": 5e-06,
|
| 1243 |
+
"loss": 0.5956,
|
| 1244 |
+
"step": 19000
|
| 1245 |
+
},
|
| 1246 |
+
{
|
| 1247 |
+
"epoch": 22.39,
|
| 1248 |
+
"learning_rate": 5e-06,
|
| 1249 |
+
"loss": 0.5849,
|
| 1250 |
+
"step": 19100
|
| 1251 |
+
},
|
| 1252 |
+
{
|
| 1253 |
+
"epoch": 22.51,
|
| 1254 |
+
"learning_rate": 5e-06,
|
| 1255 |
+
"loss": 0.5705,
|
| 1256 |
+
"step": 19200
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 22.63,
|
| 1260 |
+
"learning_rate": 5e-06,
|
| 1261 |
+
"loss": 0.5945,
|
| 1262 |
+
"step": 19300
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 22.74,
|
| 1266 |
+
"learning_rate": 5e-06,
|
| 1267 |
+
"loss": 0.5673,
|
| 1268 |
+
"step": 19400
|
| 1269 |
+
},
|
| 1270 |
+
{
|
| 1271 |
+
"epoch": 22.86,
|
| 1272 |
+
"learning_rate": 5e-06,
|
| 1273 |
+
"loss": 0.5942,
|
| 1274 |
+
"step": 19500
|
| 1275 |
+
},
|
| 1276 |
+
{
|
| 1277 |
+
"epoch": 22.86,
|
| 1278 |
+
"eval_loss": 0.6019883155822754,
|
| 1279 |
+
"eval_runtime": 70.6262,
|
| 1280 |
+
"eval_samples_per_second": 3.016,
|
| 1281 |
+
"eval_steps_per_second": 3.016,
|
| 1282 |
+
"step": 19500
|
| 1283 |
+
},
|
| 1284 |
+
{
|
| 1285 |
+
"epoch": 22.98,
|
| 1286 |
+
"learning_rate": 5e-06,
|
| 1287 |
+
"loss": 0.556,
|
| 1288 |
+
"step": 19600
|
| 1289 |
+
},
|
| 1290 |
+
{
|
| 1291 |
+
"epoch": 23.09,
|
| 1292 |
+
"learning_rate": 5e-06,
|
| 1293 |
+
"loss": 0.5919,
|
| 1294 |
+
"step": 19700
|
| 1295 |
+
},
|
| 1296 |
+
{
|
| 1297 |
+
"epoch": 23.21,
|
| 1298 |
+
"learning_rate": 5e-06,
|
| 1299 |
+
"loss": 0.554,
|
| 1300 |
+
"step": 19800
|
| 1301 |
+
},
|
| 1302 |
+
{
|
| 1303 |
+
"epoch": 23.33,
|
| 1304 |
+
"learning_rate": 5e-06,
|
| 1305 |
+
"loss": 0.5708,
|
| 1306 |
+
"step": 19900
|
| 1307 |
+
},
|
| 1308 |
+
{
|
| 1309 |
+
"epoch": 23.45,
|
| 1310 |
+
"learning_rate": 5e-06,
|
| 1311 |
+
"loss": 0.5555,
|
| 1312 |
+
"step": 20000
|
| 1313 |
+
},
|
| 1314 |
+
{
|
| 1315 |
+
"epoch": 23.56,
|
| 1316 |
+
"learning_rate": 5e-06,
|
| 1317 |
+
"loss": 0.6004,
|
| 1318 |
+
"step": 20100
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"epoch": 23.68,
|
| 1322 |
+
"learning_rate": 5e-06,
|
| 1323 |
+
"loss": 0.5894,
|
| 1324 |
+
"step": 20200
|
| 1325 |
+
},
|
| 1326 |
+
{
|
| 1327 |
+
"epoch": 23.8,
|
| 1328 |
+
"learning_rate": 5e-06,
|
| 1329 |
+
"loss": 0.5718,
|
| 1330 |
+
"step": 20300
|
| 1331 |
+
},
|
| 1332 |
+
{
|
| 1333 |
+
"epoch": 23.92,
|
| 1334 |
+
"learning_rate": 5e-06,
|
| 1335 |
+
"loss": 0.5744,
|
| 1336 |
+
"step": 20400
|
| 1337 |
+
},
|
| 1338 |
+
{
|
| 1339 |
+
"epoch": 24.03,
|
| 1340 |
+
"learning_rate": 5e-06,
|
| 1341 |
+
"loss": 0.5602,
|
| 1342 |
+
"step": 20500
|
| 1343 |
+
},
|
| 1344 |
+
{
|
| 1345 |
+
"epoch": 24.15,
|
| 1346 |
+
"learning_rate": 5e-06,
|
| 1347 |
+
"loss": 0.5656,
|
| 1348 |
+
"step": 20600
|
| 1349 |
+
},
|
| 1350 |
+
{
|
| 1351 |
+
"epoch": 24.27,
|
| 1352 |
+
"learning_rate": 5e-06,
|
| 1353 |
+
"loss": 0.5657,
|
| 1354 |
+
"step": 20700
|
| 1355 |
+
},
|
| 1356 |
+
{
|
| 1357 |
+
"epoch": 24.38,
|
| 1358 |
+
"learning_rate": 5e-06,
|
| 1359 |
+
"loss": 0.5553,
|
| 1360 |
+
"step": 20800
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 24.5,
|
| 1364 |
+
"learning_rate": 5e-06,
|
| 1365 |
+
"loss": 0.5962,
|
| 1366 |
+
"step": 20900
|
| 1367 |
+
},
|
| 1368 |
+
{
|
| 1369 |
+
"epoch": 24.62,
|
| 1370 |
+
"learning_rate": 5e-06,
|
| 1371 |
+
"loss": 0.5982,
|
| 1372 |
+
"step": 21000
|
| 1373 |
+
},
|
| 1374 |
+
{
|
| 1375 |
+
"epoch": 24.62,
|
| 1376 |
+
"eval_loss": 0.5987153053283691,
|
| 1377 |
+
"eval_runtime": 70.2465,
|
| 1378 |
+
"eval_samples_per_second": 3.032,
|
| 1379 |
+
"eval_steps_per_second": 3.032,
|
| 1380 |
+
"step": 21000
|
| 1381 |
+
},
|
| 1382 |
+
{
|
| 1383 |
+
"epoch": 24.74,
|
| 1384 |
+
"learning_rate": 5e-06,
|
| 1385 |
+
"loss": 0.5946,
|
| 1386 |
+
"step": 21100
|
| 1387 |
+
},
|
| 1388 |
+
{
|
| 1389 |
+
"epoch": 24.85,
|
| 1390 |
+
"learning_rate": 5e-06,
|
| 1391 |
+
"loss": 0.5473,
|
| 1392 |
+
"step": 21200
|
| 1393 |
+
},
|
| 1394 |
+
{
|
| 1395 |
+
"epoch": 24.97,
|
| 1396 |
+
"learning_rate": 5e-06,
|
| 1397 |
+
"loss": 0.5605,
|
| 1398 |
+
"step": 21300
|
| 1399 |
+
},
|
| 1400 |
+
{
|
| 1401 |
+
"epoch": 25.09,
|
| 1402 |
+
"learning_rate": 5e-06,
|
| 1403 |
+
"loss": 0.5953,
|
| 1404 |
+
"step": 21400
|
| 1405 |
+
},
|
| 1406 |
+
{
|
| 1407 |
+
"epoch": 25.21,
|
| 1408 |
+
"learning_rate": 5e-06,
|
| 1409 |
+
"loss": 0.5697,
|
| 1410 |
+
"step": 21500
|
| 1411 |
+
},
|
| 1412 |
+
{
|
| 1413 |
+
"epoch": 25.32,
|
| 1414 |
+
"learning_rate": 5e-06,
|
| 1415 |
+
"loss": 0.5627,
|
| 1416 |
+
"step": 21600
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 25.44,
|
| 1420 |
+
"learning_rate": 5e-06,
|
| 1421 |
+
"loss": 0.567,
|
| 1422 |
+
"step": 21700
|
| 1423 |
+
},
|
| 1424 |
+
{
|
| 1425 |
+
"epoch": 25.56,
|
| 1426 |
+
"learning_rate": 5e-06,
|
| 1427 |
+
"loss": 0.5394,
|
| 1428 |
+
"step": 21800
|
| 1429 |
+
},
|
| 1430 |
+
{
|
| 1431 |
+
"epoch": 25.67,
|
| 1432 |
+
"learning_rate": 5e-06,
|
| 1433 |
+
"loss": 0.5461,
|
| 1434 |
+
"step": 21900
|
| 1435 |
+
},
|
| 1436 |
+
{
|
| 1437 |
+
"epoch": 25.79,
|
| 1438 |
+
"learning_rate": 5e-06,
|
| 1439 |
+
"loss": 0.5615,
|
| 1440 |
+
"step": 22000
|
| 1441 |
+
},
|
| 1442 |
+
{
|
| 1443 |
+
"epoch": 25.91,
|
| 1444 |
+
"learning_rate": 5e-06,
|
| 1445 |
+
"loss": 0.5547,
|
| 1446 |
+
"step": 22100
|
| 1447 |
+
},
|
| 1448 |
+
{
|
| 1449 |
+
"epoch": 26.03,
|
| 1450 |
+
"learning_rate": 5e-06,
|
| 1451 |
+
"loss": 0.5534,
|
| 1452 |
+
"step": 22200
|
| 1453 |
+
},
|
| 1454 |
+
{
|
| 1455 |
+
"epoch": 26.14,
|
| 1456 |
+
"learning_rate": 5e-06,
|
| 1457 |
+
"loss": 0.5494,
|
| 1458 |
+
"step": 22300
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 26.26,
|
| 1462 |
+
"learning_rate": 5e-06,
|
| 1463 |
+
"loss": 0.569,
|
| 1464 |
+
"step": 22400
|
| 1465 |
+
},
|
| 1466 |
+
{
|
| 1467 |
+
"epoch": 26.38,
|
| 1468 |
+
"learning_rate": 5e-06,
|
| 1469 |
+
"loss": 0.5352,
|
| 1470 |
+
"step": 22500
|
| 1471 |
+
},
|
| 1472 |
+
{
|
| 1473 |
+
"epoch": 26.38,
|
| 1474 |
+
"eval_loss": 0.6042129397392273,
|
| 1475 |
+
"eval_runtime": 69.7858,
|
| 1476 |
+
"eval_samples_per_second": 3.052,
|
| 1477 |
+
"eval_steps_per_second": 3.052,
|
| 1478 |
+
"step": 22500
|
| 1479 |
+
},
|
| 1480 |
+
{
|
| 1481 |
+
"epoch": 26.49,
|
| 1482 |
+
"learning_rate": 5e-06,
|
| 1483 |
+
"loss": 0.5754,
|
| 1484 |
+
"step": 22600
|
| 1485 |
+
},
|
| 1486 |
+
{
|
| 1487 |
+
"epoch": 26.61,
|
| 1488 |
+
"learning_rate": 5e-06,
|
| 1489 |
+
"loss": 0.5443,
|
| 1490 |
+
"step": 22700
|
| 1491 |
+
},
|
| 1492 |
+
{
|
| 1493 |
+
"epoch": 26.73,
|
| 1494 |
+
"learning_rate": 5e-06,
|
| 1495 |
+
"loss": 0.5765,
|
| 1496 |
+
"step": 22800
|
| 1497 |
+
},
|
| 1498 |
+
{
|
| 1499 |
+
"epoch": 26.85,
|
| 1500 |
+
"learning_rate": 5e-06,
|
| 1501 |
+
"loss": 0.5494,
|
| 1502 |
+
"step": 22900
|
| 1503 |
+
},
|
| 1504 |
+
{
|
| 1505 |
+
"epoch": 26.96,
|
| 1506 |
+
"learning_rate": 5e-06,
|
| 1507 |
+
"loss": 0.5598,
|
| 1508 |
+
"step": 23000
|
| 1509 |
+
},
|
| 1510 |
+
{
|
| 1511 |
+
"epoch": 27.08,
|
| 1512 |
+
"learning_rate": 5e-06,
|
| 1513 |
+
"loss": 0.5634,
|
| 1514 |
+
"step": 23100
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 27.2,
|
| 1518 |
+
"learning_rate": 5e-06,
|
| 1519 |
+
"loss": 0.534,
|
| 1520 |
+
"step": 23200
|
| 1521 |
+
},
|
| 1522 |
+
{
|
| 1523 |
+
"epoch": 27.32,
|
| 1524 |
+
"learning_rate": 5e-06,
|
| 1525 |
+
"loss": 0.5626,
|
| 1526 |
+
"step": 23300
|
| 1527 |
+
},
|
| 1528 |
+
{
|
| 1529 |
+
"epoch": 27.43,
|
| 1530 |
+
"learning_rate": 5e-06,
|
| 1531 |
+
"loss": 0.5681,
|
| 1532 |
+
"step": 23400
|
| 1533 |
+
},
|
| 1534 |
+
{
|
| 1535 |
+
"epoch": 27.55,
|
| 1536 |
+
"learning_rate": 5e-06,
|
| 1537 |
+
"loss": 0.5735,
|
| 1538 |
+
"step": 23500
|
| 1539 |
+
},
|
| 1540 |
+
{
|
| 1541 |
+
"epoch": 27.67,
|
| 1542 |
+
"learning_rate": 5e-06,
|
| 1543 |
+
"loss": 0.5464,
|
| 1544 |
+
"step": 23600
|
| 1545 |
+
},
|
| 1546 |
+
{
|
| 1547 |
+
"epoch": 27.78,
|
| 1548 |
+
"learning_rate": 5e-06,
|
| 1549 |
+
"loss": 0.529,
|
| 1550 |
+
"step": 23700
|
| 1551 |
+
},
|
| 1552 |
+
{
|
| 1553 |
+
"epoch": 27.9,
|
| 1554 |
+
"learning_rate": 5e-06,
|
| 1555 |
+
"loss": 0.548,
|
| 1556 |
+
"step": 23800
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 28.02,
|
| 1560 |
+
"learning_rate": 5e-06,
|
| 1561 |
+
"loss": 0.5699,
|
| 1562 |
+
"step": 23900
|
| 1563 |
+
},
|
| 1564 |
+
{
|
| 1565 |
+
"epoch": 28.14,
|
| 1566 |
+
"learning_rate": 5e-06,
|
| 1567 |
+
"loss": 0.5746,
|
| 1568 |
+
"step": 24000
|
| 1569 |
+
},
|
| 1570 |
+
{
|
| 1571 |
+
"epoch": 28.14,
|
| 1572 |
+
"eval_loss": 0.5994372367858887,
|
| 1573 |
+
"eval_runtime": 70.1931,
|
| 1574 |
+
"eval_samples_per_second": 3.034,
|
| 1575 |
+
"eval_steps_per_second": 3.034,
|
| 1576 |
+
"step": 24000
|
| 1577 |
+
},
|
| 1578 |
+
{
|
| 1579 |
+
"epoch": 28.25,
|
| 1580 |
+
"learning_rate": 5e-06,
|
| 1581 |
+
"loss": 0.5537,
|
| 1582 |
+
"step": 24100
|
| 1583 |
+
},
|
| 1584 |
+
{
|
| 1585 |
+
"epoch": 28.37,
|
| 1586 |
+
"learning_rate": 5e-06,
|
| 1587 |
+
"loss": 0.5479,
|
| 1588 |
+
"step": 24200
|
| 1589 |
+
},
|
| 1590 |
+
{
|
| 1591 |
+
"epoch": 28.49,
|
| 1592 |
+
"learning_rate": 5e-06,
|
| 1593 |
+
"loss": 0.5643,
|
| 1594 |
+
"step": 24300
|
| 1595 |
+
},
|
| 1596 |
+
{
|
| 1597 |
+
"epoch": 28.6,
|
| 1598 |
+
"learning_rate": 5e-06,
|
| 1599 |
+
"loss": 0.5273,
|
| 1600 |
+
"step": 24400
|
| 1601 |
+
},
|
| 1602 |
+
{
|
| 1603 |
+
"epoch": 28.72,
|
| 1604 |
+
"learning_rate": 5e-06,
|
| 1605 |
+
"loss": 0.544,
|
| 1606 |
+
"step": 24500
|
| 1607 |
+
},
|
| 1608 |
+
{
|
| 1609 |
+
"epoch": 28.84,
|
| 1610 |
+
"learning_rate": 5e-06,
|
| 1611 |
+
"loss": 0.5172,
|
| 1612 |
+
"step": 24600
|
| 1613 |
+
},
|
| 1614 |
+
{
|
| 1615 |
+
"epoch": 28.96,
|
| 1616 |
+
"learning_rate": 5e-06,
|
| 1617 |
+
"loss": 0.5658,
|
| 1618 |
+
"step": 24700
|
| 1619 |
+
},
|
| 1620 |
+
{
|
| 1621 |
+
"epoch": 29.07,
|
| 1622 |
+
"learning_rate": 5e-06,
|
| 1623 |
+
"loss": 0.5343,
|
| 1624 |
+
"step": 24800
|
| 1625 |
+
},
|
| 1626 |
+
{
|
| 1627 |
+
"epoch": 29.19,
|
| 1628 |
+
"learning_rate": 5e-06,
|
| 1629 |
+
"loss": 0.5307,
|
| 1630 |
+
"step": 24900
|
| 1631 |
+
},
|
| 1632 |
+
{
|
| 1633 |
+
"epoch": 29.31,
|
| 1634 |
+
"learning_rate": 5e-06,
|
| 1635 |
+
"loss": 0.5386,
|
| 1636 |
+
"step": 25000
|
| 1637 |
+
},
|
| 1638 |
+
{
|
| 1639 |
+
"epoch": 29.43,
|
| 1640 |
+
"learning_rate": 5e-06,
|
| 1641 |
+
"loss": 0.5553,
|
| 1642 |
+
"step": 25100
|
| 1643 |
+
},
|
| 1644 |
+
{
|
| 1645 |
+
"epoch": 29.54,
|
| 1646 |
+
"learning_rate": 5e-06,
|
| 1647 |
+
"loss": 0.5309,
|
| 1648 |
+
"step": 25200
|
| 1649 |
+
},
|
| 1650 |
+
{
|
| 1651 |
+
"epoch": 29.66,
|
| 1652 |
+
"learning_rate": 5e-06,
|
| 1653 |
+
"loss": 0.5323,
|
| 1654 |
+
"step": 25300
|
| 1655 |
+
},
|
| 1656 |
+
{
|
| 1657 |
+
"epoch": 29.78,
|
| 1658 |
+
"learning_rate": 5e-06,
|
| 1659 |
+
"loss": 0.5477,
|
| 1660 |
+
"step": 25400
|
| 1661 |
+
},
|
| 1662 |
+
{
|
| 1663 |
+
"epoch": 29.89,
|
| 1664 |
+
"learning_rate": 5e-06,
|
| 1665 |
+
"loss": 0.5618,
|
| 1666 |
+
"step": 25500
|
| 1667 |
+
},
|
| 1668 |
+
{
|
| 1669 |
+
"epoch": 29.89,
|
| 1670 |
+
"eval_loss": 0.5992656350135803,
|
| 1671 |
+
"eval_runtime": 70.8526,
|
| 1672 |
+
"eval_samples_per_second": 3.006,
|
| 1673 |
+
"eval_steps_per_second": 3.006,
|
| 1674 |
+
"step": 25500
|
| 1675 |
+
},
|
| 1676 |
+
{
|
| 1677 |
+
"epoch": 30.01,
|
| 1678 |
+
"learning_rate": 5e-06,
|
| 1679 |
+
"loss": 0.5368,
|
| 1680 |
+
"step": 25600
|
| 1681 |
+
},
|
| 1682 |
+
{
|
| 1683 |
+
"epoch": 30.13,
|
| 1684 |
+
"learning_rate": 5e-06,
|
| 1685 |
+
"loss": 0.55,
|
| 1686 |
+
"step": 25700
|
| 1687 |
+
},
|
| 1688 |
+
{
|
| 1689 |
+
"epoch": 30.25,
|
| 1690 |
+
"learning_rate": 5e-06,
|
| 1691 |
+
"loss": 0.5138,
|
| 1692 |
+
"step": 25800
|
| 1693 |
+
},
|
| 1694 |
+
{
|
| 1695 |
+
"epoch": 30.36,
|
| 1696 |
+
"learning_rate": 5e-06,
|
| 1697 |
+
"loss": 0.5266,
|
| 1698 |
+
"step": 25900
|
| 1699 |
+
},
|
| 1700 |
+
{
|
| 1701 |
+
"epoch": 30.48,
|
| 1702 |
+
"learning_rate": 5e-06,
|
| 1703 |
+
"loss": 0.5539,
|
| 1704 |
+
"step": 26000
|
| 1705 |
+
},
|
| 1706 |
+
{
|
| 1707 |
+
"epoch": 30.6,
|
| 1708 |
+
"learning_rate": 5e-06,
|
| 1709 |
+
"loss": 0.536,
|
| 1710 |
+
"step": 26100
|
| 1711 |
+
},
|
| 1712 |
+
{
|
| 1713 |
+
"epoch": 30.72,
|
| 1714 |
+
"learning_rate": 5e-06,
|
| 1715 |
+
"loss": 0.5427,
|
| 1716 |
+
"step": 26200
|
| 1717 |
+
},
|
| 1718 |
+
{
|
| 1719 |
+
"epoch": 30.83,
|
| 1720 |
+
"learning_rate": 5e-06,
|
| 1721 |
+
"loss": 0.5496,
|
| 1722 |
+
"step": 26300
|
| 1723 |
+
},
|
| 1724 |
+
{
|
| 1725 |
+
"epoch": 30.95,
|
| 1726 |
+
"learning_rate": 5e-06,
|
| 1727 |
+
"loss": 0.5127,
|
| 1728 |
+
"step": 26400
|
| 1729 |
+
},
|
| 1730 |
+
{
|
| 1731 |
+
"epoch": 31.07,
|
| 1732 |
+
"learning_rate": 5e-06,
|
| 1733 |
+
"loss": 0.5569,
|
| 1734 |
+
"step": 26500
|
| 1735 |
+
},
|
| 1736 |
+
{
|
| 1737 |
+
"epoch": 31.18,
|
| 1738 |
+
"learning_rate": 5e-06,
|
| 1739 |
+
"loss": 0.5196,
|
| 1740 |
+
"step": 26600
|
| 1741 |
+
},
|
| 1742 |
+
{
|
| 1743 |
+
"epoch": 31.3,
|
| 1744 |
+
"learning_rate": 5e-06,
|
| 1745 |
+
"loss": 0.5268,
|
| 1746 |
+
"step": 26700
|
| 1747 |
+
},
|
| 1748 |
+
{
|
| 1749 |
+
"epoch": 31.42,
|
| 1750 |
+
"learning_rate": 5e-06,
|
| 1751 |
+
"loss": 0.5419,
|
| 1752 |
+
"step": 26800
|
| 1753 |
+
},
|
| 1754 |
+
{
|
| 1755 |
+
"epoch": 31.54,
|
| 1756 |
+
"learning_rate": 5e-06,
|
| 1757 |
+
"loss": 0.5087,
|
| 1758 |
+
"step": 26900
|
| 1759 |
+
},
|
| 1760 |
+
{
|
| 1761 |
+
"epoch": 31.65,
|
| 1762 |
+
"learning_rate": 5e-06,
|
| 1763 |
+
"loss": 0.5254,
|
| 1764 |
+
"step": 27000
|
| 1765 |
+
},
|
| 1766 |
+
{
|
| 1767 |
+
"epoch": 31.65,
|
| 1768 |
+
"eval_loss": 0.5909192562103271,
|
| 1769 |
+
"eval_runtime": 70.5089,
|
| 1770 |
+
"eval_samples_per_second": 3.021,
|
| 1771 |
+
"eval_steps_per_second": 3.021,
|
| 1772 |
+
"step": 27000
|
| 1773 |
+
},
|
| 1774 |
+
{
|
| 1775 |
+
"epoch": 31.77,
|
| 1776 |
+
"learning_rate": 5e-06,
|
| 1777 |
+
"loss": 0.5346,
|
| 1778 |
+
"step": 27100
|
| 1779 |
+
},
|
| 1780 |
+
{
|
| 1781 |
+
"epoch": 31.89,
|
| 1782 |
+
"learning_rate": 5e-06,
|
| 1783 |
+
"loss": 0.5279,
|
| 1784 |
+
"step": 27200
|
| 1785 |
+
},
|
| 1786 |
+
{
|
| 1787 |
+
"epoch": 32.0,
|
| 1788 |
+
"learning_rate": 5e-06,
|
| 1789 |
+
"loss": 0.5711,
|
| 1790 |
+
"step": 27300
|
| 1791 |
+
},
|
| 1792 |
+
{
|
| 1793 |
+
"epoch": 32.12,
|
| 1794 |
+
"learning_rate": 5e-06,
|
| 1795 |
+
"loss": 0.5079,
|
| 1796 |
+
"step": 27400
|
| 1797 |
+
},
|
| 1798 |
+
{
|
| 1799 |
+
"epoch": 32.24,
|
| 1800 |
+
"learning_rate": 5e-06,
|
| 1801 |
+
"loss": 0.5303,
|
| 1802 |
+
"step": 27500
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"epoch": 32.36,
|
| 1806 |
+
"learning_rate": 5e-06,
|
| 1807 |
+
"loss": 0.5347,
|
| 1808 |
+
"step": 27600
|
| 1809 |
+
},
|
| 1810 |
+
{
|
| 1811 |
+
"epoch": 32.47,
|
| 1812 |
+
"learning_rate": 5e-06,
|
| 1813 |
+
"loss": 0.4936,
|
| 1814 |
+
"step": 27700
|
| 1815 |
+
},
|
| 1816 |
+
{
|
| 1817 |
+
"epoch": 32.59,
|
| 1818 |
+
"learning_rate": 5e-06,
|
| 1819 |
+
"loss": 0.5303,
|
| 1820 |
+
"step": 27800
|
| 1821 |
+
},
|
| 1822 |
+
{
|
| 1823 |
+
"epoch": 32.71,
|
| 1824 |
+
"learning_rate": 5e-06,
|
| 1825 |
+
"loss": 0.5543,
|
| 1826 |
+
"step": 27900
|
| 1827 |
+
},
|
| 1828 |
+
{
|
| 1829 |
+
"epoch": 32.83,
|
| 1830 |
+
"learning_rate": 5e-06,
|
| 1831 |
+
"loss": 0.5266,
|
| 1832 |
+
"step": 28000
|
| 1833 |
+
},
|
| 1834 |
+
{
|
| 1835 |
+
"epoch": 32.94,
|
| 1836 |
+
"learning_rate": 5e-06,
|
| 1837 |
+
"loss": 0.5258,
|
| 1838 |
+
"step": 28100
|
| 1839 |
+
},
|
| 1840 |
+
{
|
| 1841 |
+
"epoch": 33.06,
|
| 1842 |
+
"learning_rate": 5e-06,
|
| 1843 |
+
"loss": 0.5559,
|
| 1844 |
+
"step": 28200
|
| 1845 |
+
},
|
| 1846 |
+
{
|
| 1847 |
+
"epoch": 33.18,
|
| 1848 |
+
"learning_rate": 5e-06,
|
| 1849 |
+
"loss": 0.5096,
|
| 1850 |
+
"step": 28300
|
| 1851 |
+
},
|
| 1852 |
+
{
|
| 1853 |
+
"epoch": 33.29,
|
| 1854 |
+
"learning_rate": 5e-06,
|
| 1855 |
+
"loss": 0.5427,
|
| 1856 |
+
"step": 28400
|
| 1857 |
+
},
|
| 1858 |
+
{
|
| 1859 |
+
"epoch": 33.41,
|
| 1860 |
+
"learning_rate": 5e-06,
|
| 1861 |
+
"loss": 0.5336,
|
| 1862 |
+
"step": 28500
|
| 1863 |
+
},
|
| 1864 |
+
{
|
| 1865 |
+
"epoch": 33.41,
|
| 1866 |
+
"eval_loss": 0.587517261505127,
|
| 1867 |
+
"eval_runtime": 70.6475,
|
| 1868 |
+
"eval_samples_per_second": 3.015,
|
| 1869 |
+
"eval_steps_per_second": 3.015,
|
| 1870 |
+
"step": 28500
|
| 1871 |
+
},
|
| 1872 |
+
{
|
| 1873 |
+
"epoch": 33.53,
|
| 1874 |
+
"learning_rate": 5e-06,
|
| 1875 |
+
"loss": 0.5419,
|
| 1876 |
+
"step": 28600
|
| 1877 |
+
},
|
| 1878 |
+
{
|
| 1879 |
+
"epoch": 33.65,
|
| 1880 |
+
"learning_rate": 5e-06,
|
| 1881 |
+
"loss": 0.5235,
|
| 1882 |
+
"step": 28700
|
| 1883 |
+
},
|
| 1884 |
+
{
|
| 1885 |
+
"epoch": 33.76,
|
| 1886 |
+
"learning_rate": 5e-06,
|
| 1887 |
+
"loss": 0.5266,
|
| 1888 |
+
"step": 28800
|
| 1889 |
+
},
|
| 1890 |
+
{
|
| 1891 |
+
"epoch": 33.88,
|
| 1892 |
+
"learning_rate": 5e-06,
|
| 1893 |
+
"loss": 0.5308,
|
| 1894 |
+
"step": 28900
|
| 1895 |
+
},
|
| 1896 |
+
{
|
| 1897 |
+
"epoch": 34.0,
|
| 1898 |
+
"learning_rate": 5e-06,
|
| 1899 |
+
"loss": 0.5203,
|
| 1900 |
+
"step": 29000
|
| 1901 |
+
},
|
| 1902 |
+
{
|
| 1903 |
+
"epoch": 34.11,
|
| 1904 |
+
"learning_rate": 5e-06,
|
| 1905 |
+
"loss": 0.4988,
|
| 1906 |
+
"step": 29100
|
| 1907 |
+
},
|
| 1908 |
+
{
|
| 1909 |
+
"epoch": 34.23,
|
| 1910 |
+
"learning_rate": 5e-06,
|
| 1911 |
+
"loss": 0.502,
|
| 1912 |
+
"step": 29200
|
| 1913 |
+
},
|
| 1914 |
+
{
|
| 1915 |
+
"epoch": 34.35,
|
| 1916 |
+
"learning_rate": 5e-06,
|
| 1917 |
+
"loss": 0.5111,
|
| 1918 |
+
"step": 29300
|
| 1919 |
+
},
|
| 1920 |
+
{
|
| 1921 |
+
"epoch": 34.47,
|
| 1922 |
+
"learning_rate": 5e-06,
|
| 1923 |
+
"loss": 0.539,
|
| 1924 |
+
"step": 29400
|
| 1925 |
+
},
|
| 1926 |
+
{
|
| 1927 |
+
"epoch": 34.58,
|
| 1928 |
+
"learning_rate": 5e-06,
|
| 1929 |
+
"loss": 0.5086,
|
| 1930 |
+
"step": 29500
|
| 1931 |
+
},
|
| 1932 |
+
{
|
| 1933 |
+
"epoch": 34.7,
|
| 1934 |
+
"learning_rate": 5e-06,
|
| 1935 |
+
"loss": 0.5285,
|
| 1936 |
+
"step": 29600
|
| 1937 |
+
},
|
| 1938 |
+
{
|
| 1939 |
+
"epoch": 34.82,
|
| 1940 |
+
"learning_rate": 5e-06,
|
| 1941 |
+
"loss": 0.5153,
|
| 1942 |
+
"step": 29700
|
| 1943 |
+
},
|
| 1944 |
+
{
|
| 1945 |
+
"epoch": 34.94,
|
| 1946 |
+
"learning_rate": 5e-06,
|
| 1947 |
+
"loss": 0.5366,
|
| 1948 |
+
"step": 29800
|
| 1949 |
+
},
|
| 1950 |
+
{
|
| 1951 |
+
"epoch": 35.05,
|
| 1952 |
+
"learning_rate": 5e-06,
|
| 1953 |
+
"loss": 0.5307,
|
| 1954 |
+
"step": 29900
|
| 1955 |
+
},
|
| 1956 |
+
{
|
| 1957 |
+
"epoch": 35.17,
|
| 1958 |
+
"learning_rate": 5e-06,
|
| 1959 |
+
"loss": 0.5677,
|
| 1960 |
+
"step": 30000
|
| 1961 |
+
},
|
| 1962 |
+
{
|
| 1963 |
+
"epoch": 35.17,
|
| 1964 |
+
"eval_loss": 0.591385543346405,
|
| 1965 |
+
"eval_runtime": 70.1376,
|
| 1966 |
+
"eval_samples_per_second": 3.037,
|
| 1967 |
+
"eval_steps_per_second": 3.037,
|
| 1968 |
+
"step": 30000
|
| 1969 |
+
},
|
| 1970 |
+
{
|
| 1971 |
+
"epoch": 35.29,
|
| 1972 |
+
"learning_rate": 5e-06,
|
| 1973 |
+
"loss": 0.5283,
|
| 1974 |
+
"step": 30100
|
| 1975 |
+
},
|
| 1976 |
+
{
|
| 1977 |
+
"epoch": 35.4,
|
| 1978 |
+
"learning_rate": 5e-06,
|
| 1979 |
+
"loss": 0.5281,
|
| 1980 |
+
"step": 30200
|
| 1981 |
+
},
|
| 1982 |
+
{
|
| 1983 |
+
"epoch": 35.52,
|
| 1984 |
+
"learning_rate": 5e-06,
|
| 1985 |
+
"loss": 0.5087,
|
| 1986 |
+
"step": 30300
|
| 1987 |
+
},
|
| 1988 |
+
{
|
| 1989 |
+
"epoch": 35.64,
|
| 1990 |
+
"learning_rate": 5e-06,
|
| 1991 |
+
"loss": 0.4965,
|
| 1992 |
+
"step": 30400
|
| 1993 |
+
},
|
| 1994 |
+
{
|
| 1995 |
+
"epoch": 35.76,
|
| 1996 |
+
"learning_rate": 5e-06,
|
| 1997 |
+
"loss": 0.5085,
|
| 1998 |
+
"step": 30500
|
| 1999 |
+
},
|
| 2000 |
+
{
|
| 2001 |
+
"epoch": 35.87,
|
| 2002 |
+
"learning_rate": 5e-06,
|
| 2003 |
+
"loss": 0.5159,
|
| 2004 |
+
"step": 30600
|
| 2005 |
+
},
|
| 2006 |
+
{
|
| 2007 |
+
"epoch": 35.99,
|
| 2008 |
+
"learning_rate": 5e-06,
|
| 2009 |
+
"loss": 0.5149,
|
| 2010 |
+
"step": 30700
|
| 2011 |
+
},
|
| 2012 |
+
{
|
| 2013 |
+
"epoch": 36.11,
|
| 2014 |
+
"learning_rate": 5e-06,
|
| 2015 |
+
"loss": 0.5281,
|
| 2016 |
+
"step": 30800
|
| 2017 |
+
},
|
| 2018 |
+
{
|
| 2019 |
+
"epoch": 36.23,
|
| 2020 |
+
"learning_rate": 5e-06,
|
| 2021 |
+
"loss": 0.511,
|
| 2022 |
+
"step": 30900
|
| 2023 |
+
},
|
| 2024 |
+
{
|
| 2025 |
+
"epoch": 36.34,
|
| 2026 |
+
"learning_rate": 5e-06,
|
| 2027 |
+
"loss": 0.5327,
|
| 2028 |
+
"step": 31000
|
| 2029 |
+
},
|
| 2030 |
+
{
|
| 2031 |
+
"epoch": 36.46,
|
| 2032 |
+
"learning_rate": 5e-06,
|
| 2033 |
+
"loss": 0.5267,
|
| 2034 |
+
"step": 31100
|
| 2035 |
+
},
|
| 2036 |
+
{
|
| 2037 |
+
"epoch": 36.58,
|
| 2038 |
+
"learning_rate": 5e-06,
|
| 2039 |
+
"loss": 0.5124,
|
| 2040 |
+
"step": 31200
|
| 2041 |
+
},
|
| 2042 |
+
{
|
| 2043 |
+
"epoch": 36.69,
|
| 2044 |
+
"learning_rate": 5e-06,
|
| 2045 |
+
"loss": 0.5069,
|
| 2046 |
+
"step": 31300
|
| 2047 |
+
},
|
| 2048 |
+
{
|
| 2049 |
+
"epoch": 36.81,
|
| 2050 |
+
"learning_rate": 5e-06,
|
| 2051 |
+
"loss": 0.4839,
|
| 2052 |
+
"step": 31400
|
| 2053 |
+
},
|
| 2054 |
+
{
|
| 2055 |
+
"epoch": 36.93,
|
| 2056 |
+
"learning_rate": 5e-06,
|
| 2057 |
+
"loss": 0.5009,
|
| 2058 |
+
"step": 31500
|
| 2059 |
+
},
|
| 2060 |
+
{
|
| 2061 |
+
"epoch": 36.93,
|
| 2062 |
+
"eval_loss": 0.6007654070854187,
|
| 2063 |
+
"eval_runtime": 70.1373,
|
| 2064 |
+
"eval_samples_per_second": 3.037,
|
| 2065 |
+
"eval_steps_per_second": 3.037,
|
| 2066 |
+
"step": 31500
|
| 2067 |
+
},
|
| 2068 |
+
{
|
| 2069 |
+
"epoch": 37.05,
|
| 2070 |
+
"learning_rate": 5e-06,
|
| 2071 |
+
"loss": 0.5169,
|
| 2072 |
+
"step": 31600
|
| 2073 |
+
},
|
| 2074 |
+
{
|
| 2075 |
+
"epoch": 37.16,
|
| 2076 |
+
"learning_rate": 5e-06,
|
| 2077 |
+
"loss": 0.5003,
|
| 2078 |
+
"step": 31700
|
| 2079 |
+
},
|
| 2080 |
+
{
|
| 2081 |
+
"epoch": 37.28,
|
| 2082 |
+
"learning_rate": 5e-06,
|
| 2083 |
+
"loss": 0.502,
|
| 2084 |
+
"step": 31800
|
| 2085 |
+
},
|
| 2086 |
+
{
|
| 2087 |
+
"epoch": 37.4,
|
| 2088 |
+
"learning_rate": 5e-06,
|
| 2089 |
+
"loss": 0.5149,
|
| 2090 |
+
"step": 31900
|
| 2091 |
+
},
|
| 2092 |
+
{
|
| 2093 |
+
"epoch": 37.51,
|
| 2094 |
+
"learning_rate": 5e-06,
|
| 2095 |
+
"loss": 0.4903,
|
| 2096 |
+
"step": 32000
|
| 2097 |
+
}
|
| 2098 |
+
],
|
| 2099 |
+
"max_steps": 255900,
|
| 2100 |
+
"num_train_epochs": 300,
|
| 2101 |
+
"total_flos": 3.193778270424269e+19,
|
| 2102 |
+
"trial_name": null,
|
| 2103 |
+
"trial_params": null
|
| 2104 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d735c637c0acc0c7892e4e8dfe1b777e8c1ca3b71a525d3777a0d09bdedf3b02
|
| 3 |
+
size 3515
|