End of training
Browse files- README.md +2 -1
- all_results.json +12 -0
- eval_results.json +7 -0
- train_results.json +8 -0
- trainer_state.json +682 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
CHANGED
|
@@ -4,6 +4,7 @@ license: llama3.1
|
|
| 4 |
base_model: meta-llama/Meta-Llama-3.1-8B
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
|
|
|
| 7 |
- generated_from_trainer
|
| 8 |
model-index:
|
| 9 |
- name: top_8_ranking_stackexchange
|
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
# top_8_ranking_stackexchange
|
| 17 |
|
| 18 |
-
This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on
|
| 19 |
It achieves the following results on the evaluation set:
|
| 20 |
- Loss: 0.7736
|
| 21 |
|
|
|
|
| 4 |
base_model: meta-llama/Meta-Llama-3.1-8B
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
| 7 |
+
- full
|
| 8 |
- generated_from_trainer
|
| 9 |
model-index:
|
| 10 |
- name: top_8_ranking_stackexchange
|
|
|
|
| 16 |
|
| 17 |
# top_8_ranking_stackexchange
|
| 18 |
|
| 19 |
+
This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the mlfoundations-dev/top_8_ranking_stackexchange dataset.
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
- Loss: 0.7736
|
| 22 |
|
all_results.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.7735684514045715,
|
| 4 |
+
"eval_runtime": 315.4705,
|
| 5 |
+
"eval_samples_per_second": 25.112,
|
| 6 |
+
"eval_steps_per_second": 0.393,
|
| 7 |
+
"total_flos": 1477173470822400.0,
|
| 8 |
+
"train_loss": 0.7552210683184687,
|
| 9 |
+
"train_runtime": 52264.4132,
|
| 10 |
+
"train_samples_per_second": 8.64,
|
| 11 |
+
"train_steps_per_second": 0.017
|
| 12 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.7735684514045715,
|
| 4 |
+
"eval_runtime": 315.4705,
|
| 5 |
+
"eval_samples_per_second": 25.112,
|
| 6 |
+
"eval_steps_per_second": 0.393
|
| 7 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"total_flos": 1477173470822400.0,
|
| 4 |
+
"train_loss": 0.7552210683184687,
|
| 5 |
+
"train_runtime": 52264.4132,
|
| 6 |
+
"train_samples_per_second": 8.64,
|
| 7 |
+
"train_steps_per_second": 0.017
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,682 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 882,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.034013605442176874,
|
| 13 |
+
"grad_norm": 5.093772950493088,
|
| 14 |
+
"learning_rate": 5e-06,
|
| 15 |
+
"loss": 1.0253,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.06802721088435375,
|
| 20 |
+
"grad_norm": 1.582810434950759,
|
| 21 |
+
"learning_rate": 5e-06,
|
| 22 |
+
"loss": 0.9164,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.10204081632653061,
|
| 27 |
+
"grad_norm": 1.081419957922015,
|
| 28 |
+
"learning_rate": 5e-06,
|
| 29 |
+
"loss": 0.8837,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.1360544217687075,
|
| 34 |
+
"grad_norm": 1.334991004257816,
|
| 35 |
+
"learning_rate": 5e-06,
|
| 36 |
+
"loss": 0.8662,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.17006802721088435,
|
| 41 |
+
"grad_norm": 0.6437293692108047,
|
| 42 |
+
"learning_rate": 5e-06,
|
| 43 |
+
"loss": 0.8474,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.20408163265306123,
|
| 48 |
+
"grad_norm": 0.7291088099940165,
|
| 49 |
+
"learning_rate": 5e-06,
|
| 50 |
+
"loss": 0.8403,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.23809523809523808,
|
| 55 |
+
"grad_norm": 1.2250728318971373,
|
| 56 |
+
"learning_rate": 5e-06,
|
| 57 |
+
"loss": 0.8324,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.272108843537415,
|
| 62 |
+
"grad_norm": 0.5271316099486635,
|
| 63 |
+
"learning_rate": 5e-06,
|
| 64 |
+
"loss": 0.8255,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.30612244897959184,
|
| 69 |
+
"grad_norm": 0.657776756921105,
|
| 70 |
+
"learning_rate": 5e-06,
|
| 71 |
+
"loss": 0.8268,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.3401360544217687,
|
| 76 |
+
"grad_norm": 0.6441066353244067,
|
| 77 |
+
"learning_rate": 5e-06,
|
| 78 |
+
"loss": 0.8244,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.3741496598639456,
|
| 83 |
+
"grad_norm": 0.8285320708808935,
|
| 84 |
+
"learning_rate": 5e-06,
|
| 85 |
+
"loss": 0.8204,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.40816326530612246,
|
| 90 |
+
"grad_norm": 0.7161434853368004,
|
| 91 |
+
"learning_rate": 5e-06,
|
| 92 |
+
"loss": 0.8162,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.4421768707482993,
|
| 97 |
+
"grad_norm": 0.5513713742579371,
|
| 98 |
+
"learning_rate": 5e-06,
|
| 99 |
+
"loss": 0.8145,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.47619047619047616,
|
| 104 |
+
"grad_norm": 0.7457252021496298,
|
| 105 |
+
"learning_rate": 5e-06,
|
| 106 |
+
"loss": 0.8055,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.5102040816326531,
|
| 111 |
+
"grad_norm": 0.5974600771687919,
|
| 112 |
+
"learning_rate": 5e-06,
|
| 113 |
+
"loss": 0.8046,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.54421768707483,
|
| 118 |
+
"grad_norm": 0.5106810999294438,
|
| 119 |
+
"learning_rate": 5e-06,
|
| 120 |
+
"loss": 0.8038,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.5782312925170068,
|
| 125 |
+
"grad_norm": 0.5233604769586638,
|
| 126 |
+
"learning_rate": 5e-06,
|
| 127 |
+
"loss": 0.7984,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.6122448979591837,
|
| 132 |
+
"grad_norm": 0.6621030752821899,
|
| 133 |
+
"learning_rate": 5e-06,
|
| 134 |
+
"loss": 0.8053,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.6462585034013606,
|
| 139 |
+
"grad_norm": 0.6082801478115033,
|
| 140 |
+
"learning_rate": 5e-06,
|
| 141 |
+
"loss": 0.7971,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.6802721088435374,
|
| 146 |
+
"grad_norm": 0.6921185518271565,
|
| 147 |
+
"learning_rate": 5e-06,
|
| 148 |
+
"loss": 0.7962,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.7142857142857143,
|
| 153 |
+
"grad_norm": 0.7932977516942055,
|
| 154 |
+
"learning_rate": 5e-06,
|
| 155 |
+
"loss": 0.7965,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.7482993197278912,
|
| 160 |
+
"grad_norm": 0.6324128246753213,
|
| 161 |
+
"learning_rate": 5e-06,
|
| 162 |
+
"loss": 0.7934,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.782312925170068,
|
| 167 |
+
"grad_norm": 0.559311808415173,
|
| 168 |
+
"learning_rate": 5e-06,
|
| 169 |
+
"loss": 0.7989,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.8163265306122449,
|
| 174 |
+
"grad_norm": 0.6432666654821662,
|
| 175 |
+
"learning_rate": 5e-06,
|
| 176 |
+
"loss": 0.7969,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.8503401360544217,
|
| 181 |
+
"grad_norm": 0.744813344130182,
|
| 182 |
+
"learning_rate": 5e-06,
|
| 183 |
+
"loss": 0.7919,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.8843537414965986,
|
| 188 |
+
"grad_norm": 0.5433587318374555,
|
| 189 |
+
"learning_rate": 5e-06,
|
| 190 |
+
"loss": 0.7902,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.9183673469387755,
|
| 195 |
+
"grad_norm": 0.7120343599921604,
|
| 196 |
+
"learning_rate": 5e-06,
|
| 197 |
+
"loss": 0.7906,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.9523809523809523,
|
| 202 |
+
"grad_norm": 1.1772393318908365,
|
| 203 |
+
"learning_rate": 5e-06,
|
| 204 |
+
"loss": 0.7883,
|
| 205 |
+
"step": 280
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.9863945578231292,
|
| 209 |
+
"grad_norm": 1.289674010358365,
|
| 210 |
+
"learning_rate": 5e-06,
|
| 211 |
+
"loss": 0.7865,
|
| 212 |
+
"step": 290
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 1.0,
|
| 216 |
+
"eval_loss": 0.787599503993988,
|
| 217 |
+
"eval_runtime": 312.4094,
|
| 218 |
+
"eval_samples_per_second": 25.358,
|
| 219 |
+
"eval_steps_per_second": 0.397,
|
| 220 |
+
"step": 294
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 1.0204081632653061,
|
| 224 |
+
"grad_norm": 0.9036542003842971,
|
| 225 |
+
"learning_rate": 5e-06,
|
| 226 |
+
"loss": 0.7746,
|
| 227 |
+
"step": 300
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 1.054421768707483,
|
| 231 |
+
"grad_norm": 0.8034701067288486,
|
| 232 |
+
"learning_rate": 5e-06,
|
| 233 |
+
"loss": 0.7488,
|
| 234 |
+
"step": 310
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 1.08843537414966,
|
| 238 |
+
"grad_norm": 0.6023506564223867,
|
| 239 |
+
"learning_rate": 5e-06,
|
| 240 |
+
"loss": 0.7475,
|
| 241 |
+
"step": 320
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 1.1224489795918366,
|
| 245 |
+
"grad_norm": 0.6504967920737302,
|
| 246 |
+
"learning_rate": 5e-06,
|
| 247 |
+
"loss": 0.7431,
|
| 248 |
+
"step": 330
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 1.1564625850340136,
|
| 252 |
+
"grad_norm": 0.5813877515629605,
|
| 253 |
+
"learning_rate": 5e-06,
|
| 254 |
+
"loss": 0.7462,
|
| 255 |
+
"step": 340
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 1.1904761904761905,
|
| 259 |
+
"grad_norm": 0.6259897603352809,
|
| 260 |
+
"learning_rate": 5e-06,
|
| 261 |
+
"loss": 0.747,
|
| 262 |
+
"step": 350
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 1.2244897959183674,
|
| 266 |
+
"grad_norm": 0.6862271161840088,
|
| 267 |
+
"learning_rate": 5e-06,
|
| 268 |
+
"loss": 0.7455,
|
| 269 |
+
"step": 360
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 1.2585034013605443,
|
| 273 |
+
"grad_norm": 0.5769690007814378,
|
| 274 |
+
"learning_rate": 5e-06,
|
| 275 |
+
"loss": 0.7406,
|
| 276 |
+
"step": 370
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 1.2925170068027212,
|
| 280 |
+
"grad_norm": 0.557540098903492,
|
| 281 |
+
"learning_rate": 5e-06,
|
| 282 |
+
"loss": 0.7538,
|
| 283 |
+
"step": 380
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 1.3265306122448979,
|
| 287 |
+
"grad_norm": 0.7131020070740424,
|
| 288 |
+
"learning_rate": 5e-06,
|
| 289 |
+
"loss": 0.7458,
|
| 290 |
+
"step": 390
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 1.3605442176870748,
|
| 294 |
+
"grad_norm": 0.5948565780053893,
|
| 295 |
+
"learning_rate": 5e-06,
|
| 296 |
+
"loss": 0.7446,
|
| 297 |
+
"step": 400
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 1.3945578231292517,
|
| 301 |
+
"grad_norm": 0.6911445705490143,
|
| 302 |
+
"learning_rate": 5e-06,
|
| 303 |
+
"loss": 0.7497,
|
| 304 |
+
"step": 410
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 1.4285714285714286,
|
| 308 |
+
"grad_norm": 0.6252849135367671,
|
| 309 |
+
"learning_rate": 5e-06,
|
| 310 |
+
"loss": 0.7469,
|
| 311 |
+
"step": 420
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 1.4625850340136055,
|
| 315 |
+
"grad_norm": 0.6646202868499425,
|
| 316 |
+
"learning_rate": 5e-06,
|
| 317 |
+
"loss": 0.7424,
|
| 318 |
+
"step": 430
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 1.4965986394557822,
|
| 322 |
+
"grad_norm": 0.6970040399316466,
|
| 323 |
+
"learning_rate": 5e-06,
|
| 324 |
+
"loss": 0.7445,
|
| 325 |
+
"step": 440
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 1.5306122448979593,
|
| 329 |
+
"grad_norm": 0.6004043771512654,
|
| 330 |
+
"learning_rate": 5e-06,
|
| 331 |
+
"loss": 0.7492,
|
| 332 |
+
"step": 450
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 1.564625850340136,
|
| 336 |
+
"grad_norm": 0.6563540827889115,
|
| 337 |
+
"learning_rate": 5e-06,
|
| 338 |
+
"loss": 0.7423,
|
| 339 |
+
"step": 460
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 1.598639455782313,
|
| 343 |
+
"grad_norm": 0.7454418696472762,
|
| 344 |
+
"learning_rate": 5e-06,
|
| 345 |
+
"loss": 0.7434,
|
| 346 |
+
"step": 470
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 1.6326530612244898,
|
| 350 |
+
"grad_norm": 0.5564890350927186,
|
| 351 |
+
"learning_rate": 5e-06,
|
| 352 |
+
"loss": 0.7365,
|
| 353 |
+
"step": 480
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 1.6666666666666665,
|
| 357 |
+
"grad_norm": 0.7834978093049169,
|
| 358 |
+
"learning_rate": 5e-06,
|
| 359 |
+
"loss": 0.7421,
|
| 360 |
+
"step": 490
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 1.7006802721088436,
|
| 364 |
+
"grad_norm": 0.583066628701426,
|
| 365 |
+
"learning_rate": 5e-06,
|
| 366 |
+
"loss": 0.7463,
|
| 367 |
+
"step": 500
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 1.7346938775510203,
|
| 371 |
+
"grad_norm": 0.5893517422275613,
|
| 372 |
+
"learning_rate": 5e-06,
|
| 373 |
+
"loss": 0.7376,
|
| 374 |
+
"step": 510
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 1.7687074829931972,
|
| 378 |
+
"grad_norm": 0.5037802702044101,
|
| 379 |
+
"learning_rate": 5e-06,
|
| 380 |
+
"loss": 0.7441,
|
| 381 |
+
"step": 520
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 1.8027210884353742,
|
| 385 |
+
"grad_norm": 0.5931792416654984,
|
| 386 |
+
"learning_rate": 5e-06,
|
| 387 |
+
"loss": 0.7431,
|
| 388 |
+
"step": 530
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 1.836734693877551,
|
| 392 |
+
"grad_norm": 0.6402441098113224,
|
| 393 |
+
"learning_rate": 5e-06,
|
| 394 |
+
"loss": 0.7438,
|
| 395 |
+
"step": 540
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 1.870748299319728,
|
| 399 |
+
"grad_norm": 0.5654472975194821,
|
| 400 |
+
"learning_rate": 5e-06,
|
| 401 |
+
"loss": 0.7393,
|
| 402 |
+
"step": 550
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 1.9047619047619047,
|
| 406 |
+
"grad_norm": 0.5753064985895123,
|
| 407 |
+
"learning_rate": 5e-06,
|
| 408 |
+
"loss": 0.7397,
|
| 409 |
+
"step": 560
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 1.9387755102040818,
|
| 413 |
+
"grad_norm": 0.7250548373178971,
|
| 414 |
+
"learning_rate": 5e-06,
|
| 415 |
+
"loss": 0.7397,
|
| 416 |
+
"step": 570
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 1.9727891156462585,
|
| 420 |
+
"grad_norm": 0.5431763568539679,
|
| 421 |
+
"learning_rate": 5e-06,
|
| 422 |
+
"loss": 0.7399,
|
| 423 |
+
"step": 580
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 2.0,
|
| 427 |
+
"eval_loss": 0.7747776508331299,
|
| 428 |
+
"eval_runtime": 316.2944,
|
| 429 |
+
"eval_samples_per_second": 25.046,
|
| 430 |
+
"eval_steps_per_second": 0.392,
|
| 431 |
+
"step": 588
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 2.006802721088435,
|
| 435 |
+
"grad_norm": 1.0710107167046419,
|
| 436 |
+
"learning_rate": 5e-06,
|
| 437 |
+
"loss": 0.7322,
|
| 438 |
+
"step": 590
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"epoch": 2.0408163265306123,
|
| 442 |
+
"grad_norm": 0.8179848172880277,
|
| 443 |
+
"learning_rate": 5e-06,
|
| 444 |
+
"loss": 0.6959,
|
| 445 |
+
"step": 600
|
| 446 |
+
},
|
| 447 |
+
{
|
| 448 |
+
"epoch": 2.074829931972789,
|
| 449 |
+
"grad_norm": 0.7213840408679012,
|
| 450 |
+
"learning_rate": 5e-06,
|
| 451 |
+
"loss": 0.6963,
|
| 452 |
+
"step": 610
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 2.108843537414966,
|
| 456 |
+
"grad_norm": 0.842144783291229,
|
| 457 |
+
"learning_rate": 5e-06,
|
| 458 |
+
"loss": 0.6919,
|
| 459 |
+
"step": 620
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 2.142857142857143,
|
| 463 |
+
"grad_norm": 0.8281153884085551,
|
| 464 |
+
"learning_rate": 5e-06,
|
| 465 |
+
"loss": 0.6885,
|
| 466 |
+
"step": 630
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"epoch": 2.17687074829932,
|
| 470 |
+
"grad_norm": 0.6466546656089918,
|
| 471 |
+
"learning_rate": 5e-06,
|
| 472 |
+
"loss": 0.696,
|
| 473 |
+
"step": 640
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 2.2108843537414966,
|
| 477 |
+
"grad_norm": 0.526364663799012,
|
| 478 |
+
"learning_rate": 5e-06,
|
| 479 |
+
"loss": 0.6937,
|
| 480 |
+
"step": 650
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 2.2448979591836733,
|
| 484 |
+
"grad_norm": 0.5634674036723205,
|
| 485 |
+
"learning_rate": 5e-06,
|
| 486 |
+
"loss": 0.6981,
|
| 487 |
+
"step": 660
|
| 488 |
+
},
|
| 489 |
+
{
|
| 490 |
+
"epoch": 2.2789115646258504,
|
| 491 |
+
"grad_norm": 0.5968432701967212,
|
| 492 |
+
"learning_rate": 5e-06,
|
| 493 |
+
"loss": 0.7015,
|
| 494 |
+
"step": 670
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 2.312925170068027,
|
| 498 |
+
"grad_norm": 0.5913462184907319,
|
| 499 |
+
"learning_rate": 5e-06,
|
| 500 |
+
"loss": 0.7012,
|
| 501 |
+
"step": 680
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 2.3469387755102042,
|
| 505 |
+
"grad_norm": 0.7450042075059763,
|
| 506 |
+
"learning_rate": 5e-06,
|
| 507 |
+
"loss": 0.6952,
|
| 508 |
+
"step": 690
|
| 509 |
+
},
|
| 510 |
+
{
|
| 511 |
+
"epoch": 2.380952380952381,
|
| 512 |
+
"grad_norm": 0.5383186417121737,
|
| 513 |
+
"learning_rate": 5e-06,
|
| 514 |
+
"loss": 0.6953,
|
| 515 |
+
"step": 700
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 2.4149659863945576,
|
| 519 |
+
"grad_norm": 0.7331040417967113,
|
| 520 |
+
"learning_rate": 5e-06,
|
| 521 |
+
"loss": 0.6997,
|
| 522 |
+
"step": 710
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 2.4489795918367347,
|
| 526 |
+
"grad_norm": 0.707608838125245,
|
| 527 |
+
"learning_rate": 5e-06,
|
| 528 |
+
"loss": 0.6947,
|
| 529 |
+
"step": 720
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"epoch": 2.4829931972789114,
|
| 533 |
+
"grad_norm": 0.5739038681907664,
|
| 534 |
+
"learning_rate": 5e-06,
|
| 535 |
+
"loss": 0.7002,
|
| 536 |
+
"step": 730
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 2.5170068027210886,
|
| 540 |
+
"grad_norm": 0.6882559394709682,
|
| 541 |
+
"learning_rate": 5e-06,
|
| 542 |
+
"loss": 0.7,
|
| 543 |
+
"step": 740
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 2.5510204081632653,
|
| 547 |
+
"grad_norm": 0.5748954947299686,
|
| 548 |
+
"learning_rate": 5e-06,
|
| 549 |
+
"loss": 0.6977,
|
| 550 |
+
"step": 750
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"epoch": 2.5850340136054424,
|
| 554 |
+
"grad_norm": 0.5661948160767387,
|
| 555 |
+
"learning_rate": 5e-06,
|
| 556 |
+
"loss": 0.6972,
|
| 557 |
+
"step": 760
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 2.619047619047619,
|
| 561 |
+
"grad_norm": 0.6170581920248837,
|
| 562 |
+
"learning_rate": 5e-06,
|
| 563 |
+
"loss": 0.6988,
|
| 564 |
+
"step": 770
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 2.6530612244897958,
|
| 568 |
+
"grad_norm": 0.7539930534954333,
|
| 569 |
+
"learning_rate": 5e-06,
|
| 570 |
+
"loss": 0.6977,
|
| 571 |
+
"step": 780
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 2.687074829931973,
|
| 575 |
+
"grad_norm": 0.5811347422760094,
|
| 576 |
+
"learning_rate": 5e-06,
|
| 577 |
+
"loss": 0.6987,
|
| 578 |
+
"step": 790
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 2.7210884353741496,
|
| 582 |
+
"grad_norm": 0.6704654193944088,
|
| 583 |
+
"learning_rate": 5e-06,
|
| 584 |
+
"loss": 0.6982,
|
| 585 |
+
"step": 800
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 2.7551020408163263,
|
| 589 |
+
"grad_norm": 0.6505538631815906,
|
| 590 |
+
"learning_rate": 5e-06,
|
| 591 |
+
"loss": 0.7006,
|
| 592 |
+
"step": 810
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"epoch": 2.7891156462585034,
|
| 596 |
+
"grad_norm": 0.5672733814024299,
|
| 597 |
+
"learning_rate": 5e-06,
|
| 598 |
+
"loss": 0.7038,
|
| 599 |
+
"step": 820
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 2.8231292517006805,
|
| 603 |
+
"grad_norm": 0.6464062527883608,
|
| 604 |
+
"learning_rate": 5e-06,
|
| 605 |
+
"loss": 0.7031,
|
| 606 |
+
"step": 830
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 2.857142857142857,
|
| 610 |
+
"grad_norm": 0.6783589732638796,
|
| 611 |
+
"learning_rate": 5e-06,
|
| 612 |
+
"loss": 0.7001,
|
| 613 |
+
"step": 840
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"epoch": 2.891156462585034,
|
| 617 |
+
"grad_norm": 0.6780111327853662,
|
| 618 |
+
"learning_rate": 5e-06,
|
| 619 |
+
"loss": 0.6999,
|
| 620 |
+
"step": 850
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 2.925170068027211,
|
| 624 |
+
"grad_norm": 0.6861118715829543,
|
| 625 |
+
"learning_rate": 5e-06,
|
| 626 |
+
"loss": 0.7007,
|
| 627 |
+
"step": 860
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 2.9591836734693877,
|
| 631 |
+
"grad_norm": 0.6468827032168267,
|
| 632 |
+
"learning_rate": 5e-06,
|
| 633 |
+
"loss": 0.7029,
|
| 634 |
+
"step": 870
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 2.9931972789115644,
|
| 638 |
+
"grad_norm": 0.5936344265821127,
|
| 639 |
+
"learning_rate": 5e-06,
|
| 640 |
+
"loss": 0.7006,
|
| 641 |
+
"step": 880
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 3.0,
|
| 645 |
+
"eval_loss": 0.7735684514045715,
|
| 646 |
+
"eval_runtime": 316.0096,
|
| 647 |
+
"eval_samples_per_second": 25.069,
|
| 648 |
+
"eval_steps_per_second": 0.392,
|
| 649 |
+
"step": 882
|
| 650 |
+
},
|
| 651 |
+
{
|
| 652 |
+
"epoch": 3.0,
|
| 653 |
+
"step": 882,
|
| 654 |
+
"total_flos": 1477173470822400.0,
|
| 655 |
+
"train_loss": 0.7552210683184687,
|
| 656 |
+
"train_runtime": 52264.4132,
|
| 657 |
+
"train_samples_per_second": 8.64,
|
| 658 |
+
"train_steps_per_second": 0.017
|
| 659 |
+
}
|
| 660 |
+
],
|
| 661 |
+
"logging_steps": 10,
|
| 662 |
+
"max_steps": 882,
|
| 663 |
+
"num_input_tokens_seen": 0,
|
| 664 |
+
"num_train_epochs": 3,
|
| 665 |
+
"save_steps": 500,
|
| 666 |
+
"stateful_callbacks": {
|
| 667 |
+
"TrainerControl": {
|
| 668 |
+
"args": {
|
| 669 |
+
"should_epoch_stop": false,
|
| 670 |
+
"should_evaluate": false,
|
| 671 |
+
"should_log": false,
|
| 672 |
+
"should_save": true,
|
| 673 |
+
"should_training_stop": true
|
| 674 |
+
},
|
| 675 |
+
"attributes": {}
|
| 676 |
+
}
|
| 677 |
+
},
|
| 678 |
+
"total_flos": 1477173470822400.0,
|
| 679 |
+
"train_batch_size": 8,
|
| 680 |
+
"trial_name": null,
|
| 681 |
+
"trial_params": null
|
| 682 |
+
}
|
training_eval_loss.png
ADDED
|
training_loss.png
ADDED
|