End of training
Browse files- README.md +17 -1
- all_results.json +13 -0
- config.json +1 -1
- eval_results.json +16 -0
README.md
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license: apache-2.0
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base_model: Minbyul/biomistral-7b-wo-kqa_golden-iter-sft-step1
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tags:
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- trl
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- dpo
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- generated_from_trainer
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model-index:
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- name: biomistral-7b-wo-kqa_golden-iter-dpo-step1
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results: []
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# biomistral-7b-wo-kqa_golden-iter-dpo-step1
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This model is a fine-tuned version of [Minbyul/biomistral-7b-wo-kqa_golden-iter-sft-step1](https://huggingface.co/Minbyul/biomistral-7b-wo-kqa_golden-iter-sft-step1) on
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## Model description
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license: apache-2.0
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base_model: Minbyul/biomistral-7b-wo-kqa_golden-iter-sft-step1
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tags:
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- alignment-handbook
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- trl
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- dpo
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- generated_from_trainer
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- trl
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- dpo
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- generated_from_trainer
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datasets:
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- HuggingFaceH4/ultrafeedback_binarized
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model-index:
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- name: biomistral-7b-wo-kqa_golden-iter-dpo-step1
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results: []
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# biomistral-7b-wo-kqa_golden-iter-dpo-step1
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This model is a fine-tuned version of [Minbyul/biomistral-7b-wo-kqa_golden-iter-sft-step1](https://huggingface.co/Minbyul/biomistral-7b-wo-kqa_golden-iter-sft-step1) on the HuggingFaceH4/ultrafeedback_binarized dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6935
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- Rewards/chosen: -0.0242
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- Rewards/rejected: -0.0287
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- Rewards/accuracies: 0.5833
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- Rewards/margins: 0.0045
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- Logps/rejected: -167.6166
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- Logps/chosen: -188.0933
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- Logits/rejected: -2.5183
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- Logits/chosen: -2.8619
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## Model description
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all_results.json
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{
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"epoch": 1.0,
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"train_loss": 0.6464094665815245,
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"train_runtime": 1236.0981,
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"train_samples": 6754,
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{
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"epoch": 1.0,
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"eval_logits/chosen": -2.861914873123169,
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"eval_logits/rejected": -2.5182931423187256,
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"eval_logps/chosen": -188.0933074951172,
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"eval_logps/rejected": -167.61656188964844,
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"eval_loss": 0.6934889554977417,
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"eval_rewards/accuracies": 0.5833333134651184,
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"eval_rewards/chosen": -0.024234572425484657,
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"eval_rewards/margins": 0.004475079942494631,
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"eval_rewards/rejected": -0.0287096556276083,
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"eval_runtime": 17.5046,
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"eval_samples": 163,
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"eval_samples_per_second": 9.312,
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"eval_steps_per_second": 0.343,
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"train_loss": 0.6464094665815245,
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"train_runtime": 1236.0981,
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"train_samples": 6754,
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config.json
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.38.2",
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"use_cache":
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"vocab_size": 32000
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}
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.38.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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eval_results.json
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{
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"epoch": 1.0,
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"eval_logits/chosen": -2.861914873123169,
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"eval_logits/rejected": -2.5182931423187256,
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"eval_logps/chosen": -188.0933074951172,
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"eval_logps/rejected": -167.61656188964844,
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"eval_loss": 0.6934889554977417,
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"eval_rewards/accuracies": 0.5833333134651184,
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"eval_rewards/chosen": -0.024234572425484657,
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"eval_rewards/margins": 0.004475079942494631,
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"eval_rewards/rejected": -0.0287096556276083,
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"eval_runtime": 17.5046,
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"eval_samples": 163,
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"eval_samples_per_second": 9.312,
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"eval_steps_per_second": 0.343
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}
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