sedrickkeh
commited on
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 +955 -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: oh-dcft-v3.1-llama-3.1-8b
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@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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# oh-dcft-v3.1-llama-3.1-8b
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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: 0.3671
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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: oh-dcft-v3.1-llama-3.1-8b
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# oh-dcft-v3.1-llama-3.1-8b
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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/oh-dcft-v3.1-llama-3.1-8b dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3671
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all_results.json
ADDED
@@ -0,0 +1,12 @@
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{
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"epoch": 2.996777029006739,
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+
"eval_loss": 0.3670854866504669,
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+
"eval_runtime": 284.8697,
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+
"eval_samples_per_second": 40.355,
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+
"eval_steps_per_second": 0.632,
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+
"total_flos": 2140488220016640.0,
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+
"train_loss": 0.33715206393986613,
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+
"train_runtime": 42576.9653,
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+
"train_samples_per_second": 15.39,
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+
"train_steps_per_second": 0.03
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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": 2.996777029006739,
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+
"eval_loss": 0.3670854866504669,
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+
"eval_runtime": 284.8697,
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+
"eval_samples_per_second": 40.355,
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+
"eval_steps_per_second": 0.632
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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": 2.996777029006739,
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+
"total_flos": 2140488220016640.0,
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+
"train_loss": 0.33715206393986613,
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+
"train_runtime": 42576.9653,
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+
"train_samples_per_second": 15.39,
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+
"train_steps_per_second": 0.03
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+
}
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trainer_state.json
ADDED
@@ -0,0 +1,955 @@
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1 |
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{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.996777029006739,
|
5 |
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"eval_steps": 500,
|
6 |
+
"global_step": 1278,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
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{
|
12 |
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"epoch": 0.023439789041898623,
|
13 |
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"grad_norm": 9.967006175549518,
|
14 |
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"learning_rate": 5e-06,
|
15 |
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"loss": 0.6132,
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"step": 10
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17 |
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},
|
18 |
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{
|
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"epoch": 0.046879578083797245,
|
20 |
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"grad_norm": 1.708901732081446,
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"learning_rate": 5e-06,
|
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"loss": 0.5268,
|
23 |
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"step": 20
|
24 |
+
},
|
25 |
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{
|
26 |
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"epoch": 0.07031936712569586,
|
27 |
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"grad_norm": 1.6601249126276376,
|
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"learning_rate": 5e-06,
|
29 |
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"loss": 0.4939,
|
30 |
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"step": 30
|
31 |
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},
|
32 |
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{
|
33 |
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"epoch": 0.09375915616759449,
|
34 |
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"grad_norm": 0.9058674995172575,
|
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"learning_rate": 5e-06,
|
36 |
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"loss": 0.4729,
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37 |
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"step": 40
|
38 |
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},
|
39 |
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{
|
40 |
+
"epoch": 0.11719894520949312,
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training_eval_loss.png
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training_loss.png
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