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 +962 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
CHANGED
@@ -4,6 +4,7 @@ license: llama3.1
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base_model: meta-llama/Meta-Llama-3.1-8B
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tags:
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- llama-factory
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- generated_from_trainer
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model-index:
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- name: llama3-1_8b_math_500000_samples
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@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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# llama3-1_8b_math_500000_samples
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-
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
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It achieves the following results on the evaluation set:
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- Loss: 0.5069
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base_model: meta-llama/Meta-Llama-3.1-8B
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tags:
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- llama-factory
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+
- full
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- generated_from_trainer
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model-index:
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- name: llama3-1_8b_math_500000_samples
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# llama3-1_8b_math_500000_samples
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+
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/math_500000_samples dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5069
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all_results.json
ADDED
@@ -0,0 +1,12 @@
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+
{
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"epoch": 3.0,
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"eval_loss": 0.5069288611412048,
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+
"eval_runtime": 41.6306,
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+
"eval_samples_per_second": 276.311,
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+
"eval_steps_per_second": 1.081,
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+
"total_flos": 2145722711408640.0,
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"train_loss": 0.4994005665799587,
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+
"train_runtime": 8118.1452,
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+
"train_samples_per_second": 80.761,
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"train_steps_per_second": 0.158
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+
}
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eval_results.json
ADDED
@@ -0,0 +1,7 @@
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+
{
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"epoch": 3.0,
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"eval_loss": 0.5069288611412048,
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+
"eval_runtime": 41.6306,
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+
"eval_samples_per_second": 276.311,
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+
"eval_steps_per_second": 1.081
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+
}
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train_results.json
ADDED
@@ -0,0 +1,8 @@
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+
{
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"epoch": 3.0,
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+
"total_flos": 2145722711408640.0,
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+
"train_loss": 0.4994005665799587,
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+
"train_runtime": 8118.1452,
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+
"train_samples_per_second": 80.761,
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+
"train_steps_per_second": 0.158
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+
}
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trainer_state.json
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@@ -0,0 +1,962 @@
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|
1 |
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{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 3.0,
|
5 |
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"eval_steps": 500,
|
6 |
+
"global_step": 1281,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
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11 |
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{
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12 |
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"epoch": 0.0234192037470726,
|
13 |
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"grad_norm": 2.481647447902812,
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14 |
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"learning_rate": 5e-06,
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"loss": 0.7124,
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"step": 10
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17 |
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},
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18 |
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{
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19 |
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"epoch": 0.0468384074941452,
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"grad_norm": 0.7262736099420435,
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"learning_rate": 5e-06,
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"loss": 0.6153,
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"step": 20
|
24 |
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},
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25 |
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{
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"epoch": 0.0702576112412178,
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"grad_norm": 0.7790978795240339,
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"learning_rate": 5e-06,
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"loss": 0.5859,
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"step": 30
|
31 |
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},
|
32 |
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{
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"epoch": 0.0936768149882904,
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"grad_norm": 0.6467962423003429,
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"learning_rate": 5e-06,
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"loss": 0.5711,
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"step": 40
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},
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{
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"epoch": 0.117096018735363,
|
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training_eval_loss.png
ADDED
![]() |
training_loss.png
ADDED
![]() |