End of training
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- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +0 -0
- training_loss.png +0 -0
README.md
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@@ -3,6 +3,7 @@ library_name: transformers
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base_model: AI-MO/Qwen2.5-Math-7B-Instruct-formal-prover-ft-v7.1-020425-CSFT
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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: Qwen2.5-Math-7B-Instruct-formal-prover-ft-v8-090425-CSFT
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@@ -14,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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# Qwen2.5-Math-7B-Instruct-formal-prover-ft-v8-090425-CSFT
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This model is a fine-tuned version of [AI-MO/Qwen2.5-Math-7B-Instruct-formal-prover-ft-v7.1-020425-CSFT](https://huggingface.co/AI-MO/Qwen2.5-Math-7B-Instruct-formal-prover-ft-v7.1-020425-CSFT) on
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## Model description
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base_model: AI-MO/Qwen2.5-Math-7B-Instruct-formal-prover-ft-v7.1-020425-CSFT
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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: Qwen2.5-Math-7B-Instruct-formal-prover-ft-v8-090425-CSFT
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# Qwen2.5-Math-7B-Instruct-formal-prover-ft-v8-090425-CSFT
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This model is a fine-tuned version of [AI-MO/Qwen2.5-Math-7B-Instruct-formal-prover-ft-v7.1-020425-CSFT](https://huggingface.co/AI-MO/Qwen2.5-Math-7B-Instruct-formal-prover-ft-v7.1-020425-CSFT) on the formal-prover-ft-v8-090425 dataset.
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## Model description
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all_results.json
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{
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"epoch": 3.0,
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"total_flos": 769456799612928.0,
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"train_loss": 0.17196391693531612,
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"train_runtime": 18817.4017,
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"train_samples_per_second": 1.247,
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"train_steps_per_second": 0.078
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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": 769456799612928.0,
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"train_loss": 0.17196391693531612,
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"train_runtime": 18817.4017,
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"train_samples_per_second": 1.247,
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"train_steps_per_second": 0.078
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}
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trainer_state.json
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training_loss.png
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