End of training
Browse files- README.md +16 -10
- 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: mistralai/Mistral-7B-v0.1
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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: mistral-7b-dpo-full-wo-medication_qa-ep3
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results: []
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# mistral-7b-dpo-full-wo-medication_qa-ep3
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on
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It achieves the following results on the evaluation set:
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## Model description
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license: apache-2.0
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base_model: mistralai/Mistral-7B-v0.1
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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: mistral-7b-dpo-full-wo-medication_qa-ep3
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results: []
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# mistral-7b-dpo-full-wo-medication_qa-ep3
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the HuggingFaceH4/ultrafeedback_binarized dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3800
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- Rewards/chosen: -2.4212
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- Rewards/rejected: -6.9305
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- Rewards/accuracies: 0.8602
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- Rewards/margins: 4.5093
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- Logps/rejected: -1705.3644
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- Logps/chosen: -808.9231
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- Logits/rejected: -2.9073
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- Logits/chosen: -3.0809
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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": 0.05682134947606495,
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"train_runtime": 921.1998,
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"train_samples": 10744,
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{
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"epoch": 1.0,
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"eval_logits/chosen": -3.0808565616607666,
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"eval_logits/rejected": -2.90731143951416,
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"eval_logps/chosen": -808.923095703125,
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"eval_logps/rejected": -1705.3643798828125,
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"eval_loss": 0.3800393342971802,
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"eval_rewards/accuracies": 0.8601694703102112,
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"eval_rewards/chosen": -2.4212381839752197,
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"eval_rewards/margins": 4.509303569793701,
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"eval_rewards/rejected": -6.9305419921875,
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"eval_runtime": 193.7756,
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"eval_samples": 1868,
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"eval_samples_per_second": 9.64,
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"eval_steps_per_second": 0.304,
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"train_loss": 0.05682134947606495,
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"train_runtime": 921.1998,
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"train_samples": 10744,
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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": -3.0808565616607666,
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"eval_logits/rejected": -2.90731143951416,
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"eval_logps/chosen": -808.923095703125,
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"eval_logps/rejected": -1705.3643798828125,
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"eval_loss": 0.3800393342971802,
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"eval_rewards/accuracies": 0.8601694703102112,
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"eval_rewards/chosen": -2.4212381839752197,
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"eval_rewards/margins": 4.509303569793701,
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"eval_rewards/rejected": -6.9305419921875,
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"eval_runtime": 193.7756,
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"eval_samples": 1868,
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"eval_samples_per_second": 9.64,
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"eval_steps_per_second": 0.304
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}
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