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/mistral-7b-wo-live_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: mistral-7b-dpo-full-sft-wo-live_qa
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results: []
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# mistral-7b-dpo-full-sft-wo-live_qa
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This model is a fine-tuned version of [Minbyul/mistral-7b-wo-live_qa-sft](https://huggingface.co/Minbyul/mistral-7b-wo-live_qa-sft) on
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Rewards/chosen: -0.
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- Rewards/rejected: -14.
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- Rewards/accuracies: 0.875
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- Rewards/margins: 13.
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- Logps/rejected: -
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- Logps/chosen: -168.
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- Logits/rejected: -1.
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- Logits/chosen: -1.
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## Model description
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license: apache-2.0
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base_model: Minbyul/mistral-7b-wo-live_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: mistral-7b-dpo-full-sft-wo-live_qa
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results: []
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# mistral-7b-dpo-full-sft-wo-live_qa
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This model is a fine-tuned version of [Minbyul/mistral-7b-wo-live_qa-sft](https://huggingface.co/Minbyul/mistral-7b-wo-live_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: 0.0469
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- Rewards/chosen: -0.7784
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- Rewards/rejected: -14.5261
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- Rewards/accuracies: 0.875
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- Rewards/margins: 13.7477
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- Logps/rejected: -2053.0686
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- Logps/chosen: -168.4323
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- Logits/rejected: -1.5819
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- Logits/chosen: -1.9164
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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": 0.23545521443209996,
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"train_runtime": 6883.5239,
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"train_samples": 20968,
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{
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"epoch": 1.0,
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"eval_logits/chosen": -1.9163823127746582,
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"eval_logits/rejected": -1.5818859338760376,
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"eval_logps/chosen": -168.4323272705078,
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"eval_logps/rejected": -2053.068603515625,
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"eval_loss": 0.04686330258846283,
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"eval_rewards/accuracies": 0.875,
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"eval_rewards/chosen": -0.778435230255127,
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"eval_rewards/margins": 13.74771499633789,
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"eval_rewards/rejected": -14.52614974975586,
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"eval_runtime": 4.8308,
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"eval_samples": 24,
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"eval_samples_per_second": 4.968,
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"eval_steps_per_second": 0.207,
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"train_loss": 0.23545521443209996,
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"train_runtime": 6883.5239,
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"train_samples": 20968,
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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": -1.9163823127746582,
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"eval_logits/rejected": -1.5818859338760376,
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"eval_logps/chosen": -168.4323272705078,
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"eval_logps/rejected": -2053.068603515625,
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"eval_loss": 0.04686330258846283,
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"eval_rewards/accuracies": 0.875,
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"eval_rewards/chosen": -0.778435230255127,
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"eval_rewards/margins": 13.74771499633789,
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"eval_rewards/rejected": -14.52614974975586,
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"eval_runtime": 4.8308,
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"eval_samples": 24,
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"eval_samples_per_second": 4.968,
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"eval_steps_per_second": 0.207
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}
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