MHGanainy/gpt2-xl-lora-ecthr-random-imbalanced-uniform-cluster-8-id-6
Browse files- README.md +2 -0
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +644 -0
README.md
CHANGED
|
@@ -15,6 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
# gpt2-xl-lora-ecthr-random-imbalanced-uniform-cluster-8-id-6
|
| 16 |
|
| 17 |
This model is a fine-tuned version of [openai-community/gpt2-xl](https://huggingface.co/openai-community/gpt2-xl) on an unknown dataset.
|
|
|
|
|
|
|
| 18 |
|
| 19 |
## Model description
|
| 20 |
|
|
|
|
| 15 |
# gpt2-xl-lora-ecthr-random-imbalanced-uniform-cluster-8-id-6
|
| 16 |
|
| 17 |
This model is a fine-tuned version of [openai-community/gpt2-xl](https://huggingface.co/openai-community/gpt2-xl) on an unknown dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 1.9364
|
| 20 |
|
| 21 |
## Model description
|
| 22 |
|
all_results.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 1.0,
|
| 3 |
+
"eval_loss": 1.9363725185394287,
|
| 4 |
+
"eval_runtime": 167.6562,
|
| 5 |
+
"eval_samples_per_second": 10.462,
|
| 6 |
+
"eval_steps_per_second": 1.312,
|
| 7 |
+
"perplexity": 6.9335539589787025,
|
| 8 |
+
"total_flos": 1.5802204766208e+17,
|
| 9 |
+
"train_loss": 2.0370418923194644,
|
| 10 |
+
"train_runtime": 2676.4846,
|
| 11 |
+
"train_samples_per_second": 6.483,
|
| 12 |
+
"train_steps_per_second": 3.242
|
| 13 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 1.0,
|
| 3 |
+
"eval_loss": 1.9363725185394287,
|
| 4 |
+
"eval_runtime": 167.6562,
|
| 5 |
+
"eval_samples_per_second": 10.462,
|
| 6 |
+
"eval_steps_per_second": 1.312,
|
| 7 |
+
"perplexity": 6.9335539589787025
|
| 8 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 1.0,
|
| 3 |
+
"total_flos": 1.5802204766208e+17,
|
| 4 |
+
"train_loss": 2.0370418923194644,
|
| 5 |
+
"train_runtime": 2676.4846,
|
| 6 |
+
"train_samples_per_second": 6.483,
|
| 7 |
+
"train_steps_per_second": 3.242
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,644 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 8676,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.011526048870447211,
|
| 13 |
+
"grad_norm": 0.16287635266780853,
|
| 14 |
+
"learning_rate": 2.0000000000000003e-06,
|
| 15 |
+
"loss": 2.4499,
|
| 16 |
+
"step": 100
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.023052097740894423,
|
| 20 |
+
"grad_norm": 0.13779763877391815,
|
| 21 |
+
"learning_rate": 4.000000000000001e-06,
|
| 22 |
+
"loss": 2.4266,
|
| 23 |
+
"step": 200
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.034578146611341634,
|
| 27 |
+
"grad_norm": 0.187330424785614,
|
| 28 |
+
"learning_rate": 6e-06,
|
| 29 |
+
"loss": 2.4064,
|
| 30 |
+
"step": 300
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.046104195481788846,
|
| 34 |
+
"grad_norm": 0.28954294323921204,
|
| 35 |
+
"learning_rate": 8.000000000000001e-06,
|
| 36 |
+
"loss": 2.3837,
|
| 37 |
+
"step": 400
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.05763024435223606,
|
| 41 |
+
"grad_norm": 0.3268783688545227,
|
| 42 |
+
"learning_rate": 1e-05,
|
| 43 |
+
"loss": 2.3155,
|
| 44 |
+
"step": 500
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.06915629322268327,
|
| 48 |
+
"grad_norm": 0.41438034176826477,
|
| 49 |
+
"learning_rate": 1.2e-05,
|
| 50 |
+
"loss": 2.3077,
|
| 51 |
+
"step": 600
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.08068234209313048,
|
| 55 |
+
"grad_norm": 0.5063119530677795,
|
| 56 |
+
"learning_rate": 1.4e-05,
|
| 57 |
+
"loss": 2.2537,
|
| 58 |
+
"step": 700
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.09220839096357769,
|
| 62 |
+
"grad_norm": 0.567165195941925,
|
| 63 |
+
"learning_rate": 1.6000000000000003e-05,
|
| 64 |
+
"loss": 2.2137,
|
| 65 |
+
"step": 800
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.1037344398340249,
|
| 69 |
+
"grad_norm": 0.7314255237579346,
|
| 70 |
+
"learning_rate": 1.8e-05,
|
| 71 |
+
"loss": 2.2351,
|
| 72 |
+
"step": 900
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.11526048870447211,
|
| 76 |
+
"grad_norm": 0.6741665601730347,
|
| 77 |
+
"learning_rate": 2e-05,
|
| 78 |
+
"loss": 2.2,
|
| 79 |
+
"step": 1000
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.1267865375749193,
|
| 83 |
+
"grad_norm": 0.8121697306632996,
|
| 84 |
+
"learning_rate": 1.999162587972224e-05,
|
| 85 |
+
"loss": 2.1797,
|
| 86 |
+
"step": 1100
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.13831258644536654,
|
| 90 |
+
"grad_norm": 0.731958270072937,
|
| 91 |
+
"learning_rate": 1.9966517544067045e-05,
|
| 92 |
+
"loss": 2.1466,
|
| 93 |
+
"step": 1200
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.14983863531581373,
|
| 97 |
+
"grad_norm": 0.6820886135101318,
|
| 98 |
+
"learning_rate": 1.9924717045078964e-05,
|
| 99 |
+
"loss": 2.1138,
|
| 100 |
+
"step": 1300
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.16136468418626096,
|
| 104 |
+
"grad_norm": 0.7804794311523438,
|
| 105 |
+
"learning_rate": 1.986629439123924e-05,
|
| 106 |
+
"loss": 2.1329,
|
| 107 |
+
"step": 1400
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.17289073305670816,
|
| 111 |
+
"grad_norm": 0.7968353033065796,
|
| 112 |
+
"learning_rate": 1.9791347430213906e-05,
|
| 113 |
+
"loss": 2.0917,
|
| 114 |
+
"step": 1500
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.18441678192715538,
|
| 118 |
+
"grad_norm": 0.7823499441146851,
|
| 119 |
+
"learning_rate": 1.970000168497618e-05,
|
| 120 |
+
"loss": 2.0705,
|
| 121 |
+
"step": 1600
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.19594283079760258,
|
| 125 |
+
"grad_norm": 0.7126672267913818,
|
| 126 |
+
"learning_rate": 1.9592410143577566e-05,
|
| 127 |
+
"loss": 2.081,
|
| 128 |
+
"step": 1700
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.2074688796680498,
|
| 132 |
+
"grad_norm": 0.9549794793128967,
|
| 133 |
+
"learning_rate": 1.9468753002919764e-05,
|
| 134 |
+
"loss": 2.0475,
|
| 135 |
+
"step": 1800
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.218994928538497,
|
| 139 |
+
"grad_norm": 0.8696001768112183,
|
| 140 |
+
"learning_rate": 1.932923736695659e-05,
|
| 141 |
+
"loss": 2.0387,
|
| 142 |
+
"step": 1900
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.23052097740894423,
|
| 146 |
+
"grad_norm": 0.7260416746139526,
|
| 147 |
+
"learning_rate": 1.917409689983128e-05,
|
| 148 |
+
"loss": 2.0522,
|
| 149 |
+
"step": 2000
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.24204702627939143,
|
| 153 |
+
"grad_norm": 1.1210366487503052,
|
| 154 |
+
"learning_rate": 1.900359143453017e-05,
|
| 155 |
+
"loss": 2.0172,
|
| 156 |
+
"step": 2100
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.2535730751498386,
|
| 160 |
+
"grad_norm": 0.8733548521995544,
|
| 161 |
+
"learning_rate": 1.8818006537708148e-05,
|
| 162 |
+
"loss": 2.0836,
|
| 163 |
+
"step": 2200
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.26509912402028585,
|
| 167 |
+
"grad_norm": 0.9197907447814941,
|
| 168 |
+
"learning_rate": 1.8617653031414752e-05,
|
| 169 |
+
"loss": 2.0131,
|
| 170 |
+
"step": 2300
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.2766251728907331,
|
| 174 |
+
"grad_norm": 1.0675941705703735,
|
| 175 |
+
"learning_rate": 1.8402866472521944e-05,
|
| 176 |
+
"loss": 2.0195,
|
| 177 |
+
"step": 2400
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.28815122176118024,
|
| 181 |
+
"grad_norm": 1.3169811964035034,
|
| 182 |
+
"learning_rate": 1.8174006590725364e-05,
|
| 183 |
+
"loss": 2.0603,
|
| 184 |
+
"step": 2500
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.29967727063162747,
|
| 188 |
+
"grad_norm": 1.0349682569503784,
|
| 189 |
+
"learning_rate": 1.7931456686060396e-05,
|
| 190 |
+
"loss": 2.1005,
|
| 191 |
+
"step": 2600
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.3112033195020747,
|
| 195 |
+
"grad_norm": 0.8493313193321228,
|
| 196 |
+
"learning_rate": 1.7675622986942045e-05,
|
| 197 |
+
"loss": 2.0589,
|
| 198 |
+
"step": 2700
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.3227293683725219,
|
| 202 |
+
"grad_norm": 1.4967117309570312,
|
| 203 |
+
"learning_rate": 1.7406933969803815e-05,
|
| 204 |
+
"loss": 2.01,
|
| 205 |
+
"step": 2800
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.3342554172429691,
|
| 209 |
+
"grad_norm": 1.2289470434188843,
|
| 210 |
+
"learning_rate": 1.7125839641475074e-05,
|
| 211 |
+
"loss": 2.0293,
|
| 212 |
+
"step": 2900
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.3457814661134163,
|
| 216 |
+
"grad_norm": 0.9907528758049011,
|
| 217 |
+
"learning_rate": 1.683281078549878e-05,
|
| 218 |
+
"loss": 2.0276,
|
| 219 |
+
"step": 3000
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.35730751498386354,
|
| 223 |
+
"grad_norm": 1.016227126121521,
|
| 224 |
+
"learning_rate": 1.6528338173651898e-05,
|
| 225 |
+
"loss": 1.975,
|
| 226 |
+
"step": 3100
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.36883356385431076,
|
| 230 |
+
"grad_norm": 0.8790849447250366,
|
| 231 |
+
"learning_rate": 1.6212931743989004e-05,
|
| 232 |
+
"loss": 1.9684,
|
| 233 |
+
"step": 3200
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.38035961272475793,
|
| 237 |
+
"grad_norm": 1.2671573162078857,
|
| 238 |
+
"learning_rate": 1.5887119746785776e-05,
|
| 239 |
+
"loss": 1.9958,
|
| 240 |
+
"step": 3300
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.39188566159520516,
|
| 244 |
+
"grad_norm": 0.949306070804596,
|
| 245 |
+
"learning_rate": 1.5551447859812716e-05,
|
| 246 |
+
"loss": 1.9918,
|
| 247 |
+
"step": 3400
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.4034117104656524,
|
| 251 |
+
"grad_norm": 1.0236097574234009,
|
| 252 |
+
"learning_rate": 1.5206478274420895e-05,
|
| 253 |
+
"loss": 1.995,
|
| 254 |
+
"step": 3500
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.4149377593360996,
|
| 258 |
+
"grad_norm": 0.968781590461731,
|
| 259 |
+
"learning_rate": 1.4852788753970369e-05,
|
| 260 |
+
"loss": 1.9954,
|
| 261 |
+
"step": 3600
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.4264638082065468,
|
| 265 |
+
"grad_norm": 1.0012544393539429,
|
| 266 |
+
"learning_rate": 1.4490971666178177e-05,
|
| 267 |
+
"loss": 2.0502,
|
| 268 |
+
"step": 3700
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.437989857076994,
|
| 272 |
+
"grad_norm": 1.097179651260376,
|
| 273 |
+
"learning_rate": 1.412163299100667e-05,
|
| 274 |
+
"loss": 1.9843,
|
| 275 |
+
"step": 3800
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.44951590594744123,
|
| 279 |
+
"grad_norm": 0.914181113243103,
|
| 280 |
+
"learning_rate": 1.3745391305753669e-05,
|
| 281 |
+
"loss": 2.0072,
|
| 282 |
+
"step": 3900
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.46104195481788846,
|
| 286 |
+
"grad_norm": 0.8753466010093689,
|
| 287 |
+
"learning_rate": 1.3362876749044334e-05,
|
| 288 |
+
"loss": 2.0307,
|
| 289 |
+
"step": 4000
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.4725680036883356,
|
| 293 |
+
"grad_norm": 1.152969241142273,
|
| 294 |
+
"learning_rate": 1.2974729965459843e-05,
|
| 295 |
+
"loss": 1.9786,
|
| 296 |
+
"step": 4100
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.48409405255878285,
|
| 300 |
+
"grad_norm": 1.0525474548339844,
|
| 301 |
+
"learning_rate": 1.2581601032570427e-05,
|
| 302 |
+
"loss": 1.9758,
|
| 303 |
+
"step": 4200
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.4956201014292301,
|
| 307 |
+
"grad_norm": 0.9817050099372864,
|
| 308 |
+
"learning_rate": 1.2184148372169826e-05,
|
| 309 |
+
"loss": 1.9792,
|
| 310 |
+
"step": 4300
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.5071461502996772,
|
| 314 |
+
"grad_norm": 0.9936665296554565,
|
| 315 |
+
"learning_rate": 1.1783037647534621e-05,
|
| 316 |
+
"loss": 1.9319,
|
| 317 |
+
"step": 4400
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.5186721991701245,
|
| 321 |
+
"grad_norm": 1.3320918083190918,
|
| 322 |
+
"learning_rate": 1.1378940648555367e-05,
|
| 323 |
+
"loss": 1.9815,
|
| 324 |
+
"step": 4500
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.5301982480405717,
|
| 328 |
+
"grad_norm": 1.1392863988876343,
|
| 329 |
+
"learning_rate": 1.0972534166606734e-05,
|
| 330 |
+
"loss": 1.9589,
|
| 331 |
+
"step": 4600
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.5417242969110189,
|
| 335 |
+
"grad_norm": 1.105851411819458,
|
| 336 |
+
"learning_rate": 1.0564498861041025e-05,
|
| 337 |
+
"loss": 1.9712,
|
| 338 |
+
"step": 4700
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.5532503457814661,
|
| 342 |
+
"grad_norm": 0.9632120728492737,
|
| 343 |
+
"learning_rate": 1.0155518119203511e-05,
|
| 344 |
+
"loss": 1.9888,
|
| 345 |
+
"step": 4800
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.5647763946519133,
|
| 349 |
+
"grad_norm": 0.9846602082252502,
|
| 350 |
+
"learning_rate": 9.74627691187888e-06,
|
| 351 |
+
"loss": 2.0097,
|
| 352 |
+
"step": 4900
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.5763024435223605,
|
| 356 |
+
"grad_norm": 1.0360910892486572,
|
| 357 |
+
"learning_rate": 9.337460646085684e-06,
|
| 358 |
+
"loss": 2.0172,
|
| 359 |
+
"step": 5000
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.5878284923928078,
|
| 363 |
+
"grad_norm": 1.3576469421386719,
|
| 364 |
+
"learning_rate": 8.929754017140172e-06,
|
| 365 |
+
"loss": 1.9357,
|
| 366 |
+
"step": 5100
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.5993545412632549,
|
| 370 |
+
"grad_norm": 1.2720651626586914,
|
| 371 |
+
"learning_rate": 8.523839861912114e-06,
|
| 372 |
+
"loss": 1.9361,
|
| 373 |
+
"step": 5200
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.6108805901337022,
|
| 377 |
+
"grad_norm": 1.0958973169326782,
|
| 378 |
+
"learning_rate": 8.120398015193171e-06,
|
| 379 |
+
"loss": 1.9854,
|
| 380 |
+
"step": 5300
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.6224066390041494,
|
| 384 |
+
"grad_norm": 1.1854718923568726,
|
| 385 |
+
"learning_rate": 7.720104171093247e-06,
|
| 386 |
+
"loss": 1.9756,
|
| 387 |
+
"step": 5400
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.6339326878745966,
|
| 391 |
+
"grad_norm": 1.2275166511535645,
|
| 392 |
+
"learning_rate": 7.3236287513717275e-06,
|
| 393 |
+
"loss": 1.9704,
|
| 394 |
+
"step": 5500
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.6454587367450438,
|
| 398 |
+
"grad_norm": 0.9486382007598877,
|
| 399 |
+
"learning_rate": 6.931635782599e-06,
|
| 400 |
+
"loss": 1.9794,
|
| 401 |
+
"step": 5600
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.656984785615491,
|
| 405 |
+
"grad_norm": 0.8877854943275452,
|
| 406 |
+
"learning_rate": 6.544781784028769e-06,
|
| 407 |
+
"loss": 2.0082,
|
| 408 |
+
"step": 5700
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.6685108344859382,
|
| 412 |
+
"grad_norm": 0.9322816729545593,
|
| 413 |
+
"learning_rate": 6.163714668043834e-06,
|
| 414 |
+
"loss": 1.9977,
|
| 415 |
+
"step": 5800
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.6800368833563855,
|
| 419 |
+
"grad_norm": 1.4210540056228638,
|
| 420 |
+
"learning_rate": 5.789072655016817e-06,
|
| 421 |
+
"loss": 1.9781,
|
| 422 |
+
"step": 5900
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.6915629322268326,
|
| 426 |
+
"grad_norm": 1.0706957578659058,
|
| 427 |
+
"learning_rate": 5.421483204403355e-06,
|
| 428 |
+
"loss": 1.9623,
|
| 429 |
+
"step": 6000
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.7030889810972798,
|
| 433 |
+
"grad_norm": 0.8343507051467896,
|
| 434 |
+
"learning_rate": 5.061561963857914e-06,
|
| 435 |
+
"loss": 1.9428,
|
| 436 |
+
"step": 6100
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.7146150299677271,
|
| 440 |
+
"grad_norm": 1.0041632652282715,
|
| 441 |
+
"learning_rate": 4.709911738132252e-06,
|
| 442 |
+
"loss": 2.0012,
|
| 443 |
+
"step": 6200
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.7261410788381742,
|
| 447 |
+
"grad_norm": 1.056894302368164,
|
| 448 |
+
"learning_rate": 4.367121479483565e-06,
|
| 449 |
+
"loss": 1.9998,
|
| 450 |
+
"step": 6300
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.7376671277086215,
|
| 454 |
+
"grad_norm": 1.007187008857727,
|
| 455 |
+
"learning_rate": 4.0337653012830365e-06,
|
| 456 |
+
"loss": 1.9903,
|
| 457 |
+
"step": 6400
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.7491931765790687,
|
| 461 |
+
"grad_norm": 1.315509557723999,
|
| 462 |
+
"learning_rate": 3.710401516476997e-06,
|
| 463 |
+
"loss": 1.9605,
|
| 464 |
+
"step": 6500
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.7607192254495159,
|
| 468 |
+
"grad_norm": 0.9981763958930969,
|
| 469 |
+
"learning_rate": 3.397571702510918e-06,
|
| 470 |
+
"loss": 1.9639,
|
| 471 |
+
"step": 6600
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.7722452743199631,
|
| 475 |
+
"grad_norm": 0.9252966046333313,
|
| 476 |
+
"learning_rate": 3.0957997942825337e-06,
|
| 477 |
+
"loss": 1.9364,
|
| 478 |
+
"step": 6700
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.7837713231904103,
|
| 482 |
+
"grad_norm": 0.9769275784492493,
|
| 483 |
+
"learning_rate": 2.8055912066430314e-06,
|
| 484 |
+
"loss": 1.9749,
|
| 485 |
+
"step": 6800
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.7952973720608575,
|
| 489 |
+
"grad_norm": 1.5599428415298462,
|
| 490 |
+
"learning_rate": 2.52743198791612e-06,
|
| 491 |
+
"loss": 1.9141,
|
| 492 |
+
"step": 6900
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.8068234209313048,
|
| 496 |
+
"grad_norm": 0.8673478364944458,
|
| 497 |
+
"learning_rate": 2.2617880058525942e-06,
|
| 498 |
+
"loss": 1.966,
|
| 499 |
+
"step": 7000
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.8183494698017519,
|
| 503 |
+
"grad_norm": 1.1526739597320557,
|
| 504 |
+
"learning_rate": 2.011565445123711e-06,
|
| 505 |
+
"loss": 1.9359,
|
| 506 |
+
"step": 7100
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.8298755186721992,
|
| 510 |
+
"grad_norm": 0.9983106851577759,
|
| 511 |
+
"learning_rate": 1.7721290959599612e-06,
|
| 512 |
+
"loss": 1.9869,
|
| 513 |
+
"step": 7200
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.8414015675426464,
|
| 517 |
+
"grad_norm": 1.1694141626358032,
|
| 518 |
+
"learning_rate": 1.5464729829122682e-06,
|
| 519 |
+
"loss": 2.0019,
|
| 520 |
+
"step": 7300
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.8529276164130936,
|
| 524 |
+
"grad_norm": 1.4333997964859009,
|
| 525 |
+
"learning_rate": 1.334975040267057e-06,
|
| 526 |
+
"loss": 1.988,
|
| 527 |
+
"step": 7400
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.8644536652835408,
|
| 531 |
+
"grad_norm": 1.1909687519073486,
|
| 532 |
+
"learning_rate": 1.1379894898663623e-06,
|
| 533 |
+
"loss": 1.9775,
|
| 534 |
+
"step": 7500
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.875979714153988,
|
| 538 |
+
"grad_norm": 1.4807511568069458,
|
| 539 |
+
"learning_rate": 9.558462478485963e-07,
|
| 540 |
+
"loss": 1.9351,
|
| 541 |
+
"step": 7600
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.8875057630244352,
|
| 545 |
+
"grad_norm": 1.002673625946045,
|
| 546 |
+
"learning_rate": 7.888503720970442e-07,
|
| 547 |
+
"loss": 1.9711,
|
| 548 |
+
"step": 7700
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.8990318118948825,
|
| 552 |
+
"grad_norm": 1.0885545015335083,
|
| 553 |
+
"learning_rate": 6.372815513215958e-07,
|
| 554 |
+
"loss": 1.9679,
|
| 555 |
+
"step": 7800
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.9105578607653296,
|
| 559 |
+
"grad_norm": 1.1689960956573486,
|
| 560 |
+
"learning_rate": 5.013936366293537e-07,
|
| 561 |
+
"loss": 2.0016,
|
| 562 |
+
"step": 7900
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.9220839096357769,
|
| 566 |
+
"grad_norm": 1.3642524480819702,
|
| 567 |
+
"learning_rate": 3.8141421636870404e-07,
|
| 568 |
+
"loss": 1.9104,
|
| 569 |
+
"step": 8000
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.9336099585062241,
|
| 573 |
+
"grad_norm": 1.0269041061401367,
|
| 574 |
+
"learning_rate": 2.7754423495887305e-07,
|
| 575 |
+
"loss": 1.9997,
|
| 576 |
+
"step": 8100
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 0.9451360073766712,
|
| 580 |
+
"grad_norm": 1.0803176164627075,
|
| 581 |
+
"learning_rate": 1.8995765634337247e-07,
|
| 582 |
+
"loss": 1.9636,
|
| 583 |
+
"step": 8200
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 0.9566620562471185,
|
| 587 |
+
"grad_norm": 1.369611144065857,
|
| 588 |
+
"learning_rate": 1.1880117263101343e-07,
|
| 589 |
+
"loss": 1.9551,
|
| 590 |
+
"step": 8300
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.9681881051175657,
|
| 594 |
+
"grad_norm": 0.970055341720581,
|
| 595 |
+
"learning_rate": 6.419395841242404e-08,
|
| 596 |
+
"loss": 1.989,
|
| 597 |
+
"step": 8400
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.9797141539880129,
|
| 601 |
+
"grad_norm": 1.0675110816955566,
|
| 602 |
+
"learning_rate": 2.6227471163585705e-08,
|
| 603 |
+
"loss": 1.9573,
|
| 604 |
+
"step": 8500
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 0.9912402028584602,
|
| 608 |
+
"grad_norm": 1.3944511413574219,
|
| 609 |
+
"learning_rate": 4.965298070647162e-09,
|
| 610 |
+
"loss": 1.9441,
|
| 611 |
+
"step": 8600
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 1.0,
|
| 615 |
+
"step": 8676,
|
| 616 |
+
"total_flos": 1.5802204766208e+17,
|
| 617 |
+
"train_loss": 2.0370418923194644,
|
| 618 |
+
"train_runtime": 2676.4846,
|
| 619 |
+
"train_samples_per_second": 6.483,
|
| 620 |
+
"train_steps_per_second": 3.242
|
| 621 |
+
}
|
| 622 |
+
],
|
| 623 |
+
"logging_steps": 100,
|
| 624 |
+
"max_steps": 8676,
|
| 625 |
+
"num_input_tokens_seen": 0,
|
| 626 |
+
"num_train_epochs": 1,
|
| 627 |
+
"save_steps": 500,
|
| 628 |
+
"stateful_callbacks": {
|
| 629 |
+
"TrainerControl": {
|
| 630 |
+
"args": {
|
| 631 |
+
"should_epoch_stop": false,
|
| 632 |
+
"should_evaluate": false,
|
| 633 |
+
"should_log": false,
|
| 634 |
+
"should_save": true,
|
| 635 |
+
"should_training_stop": true
|
| 636 |
+
},
|
| 637 |
+
"attributes": {}
|
| 638 |
+
}
|
| 639 |
+
},
|
| 640 |
+
"total_flos": 1.5802204766208e+17,
|
| 641 |
+
"train_batch_size": 2,
|
| 642 |
+
"trial_name": null,
|
| 643 |
+
"trial_params": null
|
| 644 |
+
}
|