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 +591 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
CHANGED
|
@@ -4,6 +4,7 @@ license: apache-2.0
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| 4 |
base_model: mistralai/Mistral-7B-v0.3
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| 5 |
tags:
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| 6 |
- llama-factory
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- generated_from_trainer
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model-index:
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- name: mistral_7b_0-3_webinstruct_original_750k_uniform
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@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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# mistral_7b_0-3_webinstruct_original_750k_uniform
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| 17 |
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-
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on
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| 19 |
It achieves the following results on the evaluation set:
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| 20 |
- Loss: 0.3616
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| 21 |
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| 4 |
base_model: mistralai/Mistral-7B-v0.3
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tags:
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- llama-factory
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+
- full
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| 8 |
- generated_from_trainer
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| 9 |
model-index:
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- name: mistral_7b_0-3_webinstruct_original_750k_uniform
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# mistral_7b_0-3_webinstruct_original_750k_uniform
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+
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the mlfoundations-dev/webinstruct_original_750k_uniform dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3616
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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": 3.0,
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+
"eval_loss": 0.36160025000572205,
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+
"eval_runtime": 22.9973,
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| 5 |
+
"eval_samples_per_second": 291.904,
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+
"eval_steps_per_second": 1.174,
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+
"total_flos": 1256277934080000.0,
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| 8 |
+
"train_loss": 0.38879382991790773,
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| 9 |
+
"train_runtime": 4686.8691,
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+
"train_samples_per_second": 81.64,
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+
"train_steps_per_second": 0.16
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+
}
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eval_results.json
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@@ -0,0 +1,7 @@
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{
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"epoch": 3.0,
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+
"eval_loss": 0.36160025000572205,
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+
"eval_runtime": 22.9973,
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| 5 |
+
"eval_samples_per_second": 291.904,
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| 6 |
+
"eval_steps_per_second": 1.174
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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": 3.0,
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+
"total_flos": 1256277934080000.0,
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+
"train_loss": 0.38879382991790773,
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+
"train_runtime": 4686.8691,
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+
"train_samples_per_second": 81.64,
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+
"train_steps_per_second": 0.16
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+
}
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trainer_state.json
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@@ -0,0 +1,591 @@
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
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| 3 |
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"best_model_checkpoint": null,
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| 4 |
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"epoch": 3.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 750,
|
| 7 |
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"is_hyper_param_search": false,
|
| 8 |
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"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": 0.04,
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| 13 |
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"grad_norm": 15.310038127586646,
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"learning_rate": 2.8768699654775607e-08,
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"loss": 0.5928,
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"step": 10
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},
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| 18 |
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{
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"epoch": 0.08,
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| 20 |
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"grad_norm": 14.307371238653309,
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"learning_rate": 5.7537399309551214e-08,
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"loss": 0.5886,
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"step": 20
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| 24 |
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},
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| 25 |
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{
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| 26 |
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"epoch": 0.12,
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| 27 |
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"grad_norm": 11.030093905097976,
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| 28 |
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"learning_rate": 8.630609896432682e-08,
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| 29 |
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"loss": 0.5803,
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| 30 |
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"step": 30
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| 31 |
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},
|
| 32 |
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{
|
| 33 |
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"epoch": 0.16,
|
| 34 |
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"grad_norm": 5.993337842833648,
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| 35 |
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"learning_rate": 1.1507479861910243e-07,
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| 36 |
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"loss": 0.548,
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| 37 |
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"step": 40
|
| 38 |
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},
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| 39 |
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{
|
| 40 |
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"epoch": 0.2,
|
| 41 |
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"grad_norm": 3.710083568844066,
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| 42 |
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"learning_rate": 1.4384349827387802e-07,
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| 43 |
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"loss": 0.5181,
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"step": 50
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| 45 |
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},
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| 46 |
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{
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| 47 |
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"epoch": 0.24,
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| 48 |
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"grad_norm": 1.9705824009872897,
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| 49 |
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"learning_rate": 1.7261219792865363e-07,
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| 50 |
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"loss": 0.4924,
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"step": 60
|
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training_eval_loss.png
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training_loss.png
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