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 +101 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
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@@ -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_4o_annotated_aops
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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_4o_annotated_aops
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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: 0.7526
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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_4o_annotated_aops
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# llama3-1_8b_4o_annotated_aops
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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/4o_annotated_aops dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7526
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all_results.json
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{
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"epoch": 3.0,
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"eval_loss": 0.7526352405548096,
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"eval_runtime": 1.839,
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"eval_samples_per_second": 238.72,
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"eval_steps_per_second": 1.088,
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"total_flos": 85426899517440.0,
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"train_loss": 0.7682641569305869,
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"train_runtime": 638.061,
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"train_samples_per_second": 39.217,
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"train_steps_per_second": 0.08
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}
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eval_results.json
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{
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"epoch": 3.0,
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"eval_loss": 0.7526352405548096,
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"eval_runtime": 1.839,
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"eval_samples_per_second": 238.72,
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"eval_steps_per_second": 1.088
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}
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train_results.json
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{
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"epoch": 3.0,
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"total_flos": 85426899517440.0,
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"train_loss": 0.7682641569305869,
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"train_runtime": 638.061,
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"train_samples_per_second": 39.217,
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"train_steps_per_second": 0.08
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}
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trainer_state.json
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"eval_steps_per_second": 1.067,
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"step": 17
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}
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training_eval_loss.png
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training_loss.png
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