End of training
Browse files- README.md +3 -2
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +2442 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
CHANGED
@@ -4,6 +4,7 @@ license: llama3.2
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base_model: meta-llama/Llama-3.2-1B
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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: mcmaster-llama3-1b-full-pt
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@@ -15,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
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# mcmaster-llama3-1b-full-pt
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-
This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on
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It achieves the following results on the evaluation set:
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-
- Loss: 0.
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## Model description
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base_model: meta-llama/Llama-3.2-1B
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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: mcmaster-llama3-1b-full-pt
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# mcmaster-llama3-1b-full-pt
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+
This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on the mcmaster dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.0319
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## Model description
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all_results.json
ADDED
@@ -0,0 +1,13 @@
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{
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"epoch": 4.998698642870422,
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+
"eval_loss": 0.03189178928732872,
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+
"eval_runtime": 212.4751,
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+
"eval_samples_per_second": 22.501,
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"eval_steps_per_second": 22.501,
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+
"perplexity": 1.0324057818949677,
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+
"total_flos": 5.14290499398402e+18,
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+
"train_loss": 0.19145491501161208,
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+
"train_runtime": 31931.328,
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+
"train_samples_per_second": 6.737,
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+
"train_steps_per_second": 0.105
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+
}
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eval_results.json
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+
{
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"epoch": 4.998698642870422,
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+
"eval_loss": 0.03189178928732872,
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+
"eval_runtime": 212.4751,
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+
"eval_samples_per_second": 22.501,
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+
"eval_steps_per_second": 22.501,
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+
"perplexity": 1.0324057818949677
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+
}
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train_results.json
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@@ -0,0 +1,8 @@
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+
{
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"epoch": 4.998698642870422,
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+
"total_flos": 5.14290499398402e+18,
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+
"train_loss": 0.19145491501161208,
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+
"train_runtime": 31931.328,
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+
"train_samples_per_second": 6.737,
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+
"train_steps_per_second": 0.105
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+
}
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trainer_state.json
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1 |
+
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training_eval_loss.png
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training_loss.png
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