End of training
Browse files- README.md +15 -9
- 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-medication_qa-sft
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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-dpo-full-sft-wo-medication_qa
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results: []
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# biomistral-7b-dpo-full-sft-wo-medication_qa
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This model is a fine-tuned version of [Minbyul/biomistral-7b-wo-medication_qa-sft](https://huggingface.co/Minbyul/biomistral-7b-wo-medication_qa-sft) on
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It achieves the following results on the evaluation set:
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- Logps/rejected: -691.8618
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- Loss: 0.4671
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- Rewards/accuracies: 0.75
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- Rewards/
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## Model description
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license: apache-2.0
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base_model: Minbyul/biomistral-7b-wo-medication_qa-sft
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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-dpo-full-sft-wo-medication_qa
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results: []
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# biomistral-7b-dpo-full-sft-wo-medication_qa
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This model is a fine-tuned version of [Minbyul/biomistral-7b-wo-medication_qa-sft](https://huggingface.co/Minbyul/biomistral-7b-wo-medication_qa-sft) on the HuggingFaceH4/ultrafeedback_binarized dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4656
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- Rewards/chosen: -0.5066
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- Rewards/rejected: -1.3382
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- Rewards/accuracies: 0.75
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- Rewards/margins: 0.8316
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- Logps/rejected: -693.0344
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- Logps/chosen: -456.7123
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- Logits/rejected: -4.0821
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- Logits/chosen: -4.1231
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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": 0.021612109477854958,
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"train_runtime": 343.2656,
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"train_samples": 7736,
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{
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"epoch": 1.0,
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"eval_logits/chosen": -4.123082160949707,
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"eval_logits/rejected": -4.0820841789245605,
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"eval_logps/chosen": -456.7123107910156,
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"eval_logps/rejected": -693.0343627929688,
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"eval_loss": 0.4655996561050415,
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"eval_rewards/accuracies": 0.75,
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"eval_rewards/chosen": -0.5065802931785583,
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"eval_rewards/margins": 0.8316203951835632,
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"eval_rewards/rejected": -1.338200569152832,
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"eval_runtime": 12.1695,
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"eval_samples": 76,
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"eval_samples_per_second": 6.245,
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"eval_steps_per_second": 0.247,
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"train_loss": 0.021612109477854958,
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"train_runtime": 343.2656,
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"train_samples": 7736,
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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": "4.39.0.dev0",
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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": "4.39.0.dev0",
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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": -4.123082160949707,
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"eval_logits/rejected": -4.0820841789245605,
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"eval_logps/chosen": -456.7123107910156,
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"eval_logps/rejected": -693.0343627929688,
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"eval_loss": 0.4655996561050415,
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"eval_rewards/accuracies": 0.75,
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"eval_rewards/chosen": -0.5065802931785583,
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"eval_rewards/margins": 0.8316203951835632,
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"eval_rewards/rejected": -1.338200569152832,
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"eval_runtime": 12.1695,
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"eval_samples": 76,
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"eval_samples_per_second": 6.245,
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"eval_steps_per_second": 0.247
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}
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