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 +122 -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: seed_math_deepmind
|
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
# seed_math_deepmind
|
| 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: 0.1540
|
| 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: seed_math_deepmind
|
|
|
|
| 16 |
|
| 17 |
# seed_math_deepmind
|
| 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/seed_math_deepmind dataset.
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
- Loss: 0.1540
|
| 22 |
|
all_results.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.963963963963964,
|
| 3 |
+
"eval_loss": 0.15399795770645142,
|
| 4 |
+
"eval_runtime": 30.1298,
|
| 5 |
+
"eval_samples_per_second": 24.793,
|
| 6 |
+
"eval_steps_per_second": 0.398,
|
| 7 |
+
"total_flos": 135468637224960.0,
|
| 8 |
+
"train_loss": 0.1901383955537537,
|
| 9 |
+
"train_runtime": 5069.1426,
|
| 10 |
+
"train_samples_per_second": 8.39,
|
| 11 |
+
"train_steps_per_second": 0.016
|
| 12 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.963963963963964,
|
| 3 |
+
"eval_loss": 0.15399795770645142,
|
| 4 |
+
"eval_runtime": 30.1298,
|
| 5 |
+
"eval_samples_per_second": 24.793,
|
| 6 |
+
"eval_steps_per_second": 0.398
|
| 7 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.963963963963964,
|
| 3 |
+
"total_flos": 135468637224960.0,
|
| 4 |
+
"train_loss": 0.1901383955537537,
|
| 5 |
+
"train_runtime": 5069.1426,
|
| 6 |
+
"train_samples_per_second": 8.39,
|
| 7 |
+
"train_steps_per_second": 0.016
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,122 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 2.963963963963964,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 81,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.36036036036036034,
|
| 13 |
+
"grad_norm": 5.788876433035059,
|
| 14 |
+
"learning_rate": 5e-06,
|
| 15 |
+
"loss": 0.3026,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.7207207207207207,
|
| 20 |
+
"grad_norm": 2.9871413577007604,
|
| 21 |
+
"learning_rate": 5e-06,
|
| 22 |
+
"loss": 0.2081,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.972972972972973,
|
| 27 |
+
"eval_loss": 0.18130172789096832,
|
| 28 |
+
"eval_runtime": 30.3187,
|
| 29 |
+
"eval_samples_per_second": 24.638,
|
| 30 |
+
"eval_steps_per_second": 0.396,
|
| 31 |
+
"step": 27
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 1.1036036036036037,
|
| 35 |
+
"grad_norm": 0.7150273386303733,
|
| 36 |
+
"learning_rate": 5e-06,
|
| 37 |
+
"loss": 0.202,
|
| 38 |
+
"step": 30
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 1.4639639639639639,
|
| 42 |
+
"grad_norm": 0.765396666007098,
|
| 43 |
+
"learning_rate": 5e-06,
|
| 44 |
+
"loss": 0.1717,
|
| 45 |
+
"step": 40
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 1.8243243243243243,
|
| 49 |
+
"grad_norm": 0.43140896524380545,
|
| 50 |
+
"learning_rate": 5e-06,
|
| 51 |
+
"loss": 0.1642,
|
| 52 |
+
"step": 50
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 1.9684684684684686,
|
| 56 |
+
"eval_loss": 0.16076427698135376,
|
| 57 |
+
"eval_runtime": 30.2833,
|
| 58 |
+
"eval_samples_per_second": 24.667,
|
| 59 |
+
"eval_steps_per_second": 0.396,
|
| 60 |
+
"step": 54
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 2.2072072072072073,
|
| 64 |
+
"grad_norm": 0.44793469318434836,
|
| 65 |
+
"learning_rate": 5e-06,
|
| 66 |
+
"loss": 0.172,
|
| 67 |
+
"step": 60
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"epoch": 2.5675675675675675,
|
| 71 |
+
"grad_norm": 0.3516467006088966,
|
| 72 |
+
"learning_rate": 5e-06,
|
| 73 |
+
"loss": 0.1532,
|
| 74 |
+
"step": 70
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 2.9279279279279278,
|
| 78 |
+
"grad_norm": 0.49731596311614684,
|
| 79 |
+
"learning_rate": 5e-06,
|
| 80 |
+
"loss": 0.1506,
|
| 81 |
+
"step": 80
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 2.963963963963964,
|
| 85 |
+
"eval_loss": 0.15399795770645142,
|
| 86 |
+
"eval_runtime": 29.6439,
|
| 87 |
+
"eval_samples_per_second": 25.199,
|
| 88 |
+
"eval_steps_per_second": 0.405,
|
| 89 |
+
"step": 81
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"epoch": 2.963963963963964,
|
| 93 |
+
"step": 81,
|
| 94 |
+
"total_flos": 135468637224960.0,
|
| 95 |
+
"train_loss": 0.1901383955537537,
|
| 96 |
+
"train_runtime": 5069.1426,
|
| 97 |
+
"train_samples_per_second": 8.39,
|
| 98 |
+
"train_steps_per_second": 0.016
|
| 99 |
+
}
|
| 100 |
+
],
|
| 101 |
+
"logging_steps": 10,
|
| 102 |
+
"max_steps": 81,
|
| 103 |
+
"num_input_tokens_seen": 0,
|
| 104 |
+
"num_train_epochs": 3,
|
| 105 |
+
"save_steps": 500,
|
| 106 |
+
"stateful_callbacks": {
|
| 107 |
+
"TrainerControl": {
|
| 108 |
+
"args": {
|
| 109 |
+
"should_epoch_stop": false,
|
| 110 |
+
"should_evaluate": false,
|
| 111 |
+
"should_log": false,
|
| 112 |
+
"should_save": true,
|
| 113 |
+
"should_training_stop": true
|
| 114 |
+
},
|
| 115 |
+
"attributes": {}
|
| 116 |
+
}
|
| 117 |
+
},
|
| 118 |
+
"total_flos": 135468637224960.0,
|
| 119 |
+
"train_batch_size": 8,
|
| 120 |
+
"trial_name": null,
|
| 121 |
+
"trial_params": null
|
| 122 |
+
}
|
training_eval_loss.png
ADDED
|
training_loss.png
ADDED
|