End of training
Browse files- README.md +4 -1
- all_results.json +12 -0
- eval_results.json +7 -0
- train_results.json +8 -0
- trainer_state.json +267 -0
- training_loss.png +0 -0
README.md
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@@ -4,6 +4,7 @@ license: mit
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base_model: CMU-AIRe/e3-1.7B
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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: e3-sft
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# e3-sft
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-
This model is a fine-tuned version of [CMU-AIRe/e3-1.7B](https://huggingface.co/CMU-AIRe/e3-1.7B) on
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## Model description
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base_model: CMU-AIRe/e3-1.7B
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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: e3-sft
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# e3-sft
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This model is a fine-tuned version of [CMU-AIRe/e3-1.7B](https://huggingface.co/CMU-AIRe/e3-1.7B) on the hardmath_sft_2 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7587
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## Model description
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all_results.json
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{
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"epoch": 8.0,
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"eval_loss": 0.7586517930030823,
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"eval_runtime": 0.7792,
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"eval_samples_per_second": 16.684,
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"eval_steps_per_second": 16.684,
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"total_flos": 1.073226288070656e+16,
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"train_loss": 0.8035880327224731,
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"train_runtime": 252.7497,
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"train_samples_per_second": 3.482,
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"train_steps_per_second": 0.127
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}
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eval_results.json
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{
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"epoch": 8.0,
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"eval_loss": 0.7586517930030823,
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"eval_runtime": 0.7792,
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"eval_samples_per_second": 16.684,
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"eval_steps_per_second": 16.684
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}
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train_results.json
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"train_steps_per_second": 0.127
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}
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trainer_state.json
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training_loss.png
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