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 +619 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
CHANGED
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@@ -4,6 +4,7 @@ license: llama3.1
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base_model: meta-llama/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: OH_original_wo_glaive_code_assistant
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@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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# OH_original_wo_glaive_code_assistant
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-
This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on
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It achieves the following results on the evaluation set:
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| 20 |
- Loss: 0.6022
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| 21 |
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base_model: meta-llama/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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| 9 |
model-index:
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- name: OH_original_wo_glaive_code_assistant
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# OH_original_wo_glaive_code_assistant
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+
This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on the mlfoundations-dev/OH_original_wo_glaive_code_assistant dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6022
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| 22 |
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all_results.json
ADDED
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@@ -0,0 +1,12 @@
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+
{
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"epoch": 2.994350282485876,
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+
"eval_loss": 0.6022372245788574,
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+
"eval_runtime": 90.8872,
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+
"eval_samples_per_second": 78.691,
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+
"eval_steps_per_second": 0.616,
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+
"total_flos": 1331235850813440.0,
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+
"train_loss": 0.5684360762062313,
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+
"train_runtime": 14109.8059,
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+
"train_samples_per_second": 28.892,
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+
"train_steps_per_second": 0.056
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+
}
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eval_results.json
ADDED
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@@ -0,0 +1,7 @@
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+
{
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"epoch": 2.994350282485876,
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+
"eval_loss": 0.6022372245788574,
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+
"eval_runtime": 90.8872,
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+
"eval_samples_per_second": 78.691,
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+
"eval_steps_per_second": 0.616
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+
}
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train_results.json
ADDED
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@@ -0,0 +1,8 @@
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{
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"epoch": 2.994350282485876,
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+
"total_flos": 1331235850813440.0,
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+
"train_loss": 0.5684360762062313,
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+
"train_runtime": 14109.8059,
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+
"train_samples_per_second": 28.892,
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+
"train_steps_per_second": 0.056
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+
}
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trainer_state.json
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@@ -0,0 +1,619 @@
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 2.994350282485876,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 795,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.03766478342749529,
|
| 13 |
+
"grad_norm": 2.263125496637036,
|
| 14 |
+
"learning_rate": 5e-06,
|
| 15 |
+
"loss": 0.8213,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.07532956685499058,
|
| 20 |
+
"grad_norm": 2.189120038314998,
|
| 21 |
+
"learning_rate": 5e-06,
|
| 22 |
+
"loss": 0.725,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.11299435028248588,
|
| 27 |
+
"grad_norm": 2.7377229620997587,
|
| 28 |
+
"learning_rate": 5e-06,
|
| 29 |
+
"loss": 0.6984,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.15065913370998116,
|
| 34 |
+
"grad_norm": 1.6393030705097076,
|
| 35 |
+
"learning_rate": 5e-06,
|
| 36 |
+
"loss": 0.6949,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
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training_eval_loss.png
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training_loss.png
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