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/mistral-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: mistral-7b-wo-kqa_golden-iter-dpo-step2
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results: []
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# mistral-7b-wo-kqa_golden-iter-dpo-step2
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This model is a fine-tuned version of [Minbyul/mistral-7b-wo-kqa_golden-iter-sft-step1](https://huggingface.co/Minbyul/mistral-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/mistral-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: mistral-7b-wo-kqa_golden-iter-dpo-step2
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results: []
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# mistral-7b-wo-kqa_golden-iter-dpo-step2
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This model is a fine-tuned version of [Minbyul/mistral-7b-wo-kqa_golden-iter-sft-step1](https://huggingface.co/Minbyul/mistral-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: 0.5463
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- Rewards/chosen: -0.5234
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- Rewards/rejected: -1.3980
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- Rewards/accuracies: 0.8125
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- Rewards/margins: 0.8746
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- Logps/rejected: -518.7740
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- Logps/chosen: -233.3091
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- Logits/rejected: -3.7466
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- Logits/chosen: -3.9181
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## Model description
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all_results.json
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{
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"epoch": 0.99,
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"train_loss": 0.49557680382833375,
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"train_runtime": 1348.5444,
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"train_samples": 5827,
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{
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"epoch": 0.99,
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"eval_logits/chosen": -3.918135404586792,
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"eval_logits/rejected": -3.7465851306915283,
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"eval_logps/chosen": -233.3091278076172,
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"eval_logps/rejected": -518.7740478515625,
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"eval_loss": 0.5462985038757324,
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"eval_rewards/accuracies": 0.8125,
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"eval_rewards/chosen": -0.5233834981918335,
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"eval_rewards/margins": 0.8745772242546082,
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"eval_rewards/rejected": -1.3979607820510864,
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"eval_runtime": 37.2528,
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"eval_samples": 290,
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"eval_samples_per_second": 7.785,
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"eval_steps_per_second": 0.268,
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"train_loss": 0.49557680382833375,
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"train_runtime": 1348.5444,
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"train_samples": 5827,
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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": 0.99,
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"eval_logits/chosen": -3.918135404586792,
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"eval_logits/rejected": -3.7465851306915283,
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"eval_logps/chosen": -233.3091278076172,
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"eval_logps/rejected": -518.7740478515625,
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"eval_loss": 0.5462985038757324,
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"eval_rewards/accuracies": 0.8125,
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"eval_rewards/chosen": -0.5233834981918335,
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"eval_rewards/margins": 0.8745772242546082,
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"eval_rewards/rejected": -1.3979607820510864,
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"eval_runtime": 37.2528,
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"eval_samples": 290,
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"eval_samples_per_second": 7.785,
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"eval_steps_per_second": 0.268
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}
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