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-kqa_silver_wogold-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-kqa_silver_wogold
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results: []
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@@ -15,17 +21,17 @@ should probably proofread and complete it, then remove this comment. -->
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# mistral-7b-dpo-full-sft-wo-kqa_silver_wogold
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This model is a fine-tuned version of [Minbyul/mistral-7b-wo-kqa_silver_wogold-sft](https://huggingface.co/Minbyul/mistral-7b-wo-kqa_silver_wogold-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: -2.
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- Rewards/rejected: -21.
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- Rewards/accuracies: 0.9700
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- Rewards/margins: 18.
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- Logps/rejected: -
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- Logps/chosen: -
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- Logits/rejected: -2.
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- Logits/chosen: -2.
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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_silver_wogold-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-kqa_silver_wogold
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results: []
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# mistral-7b-dpo-full-sft-wo-kqa_silver_wogold
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This model is a fine-tuned version of [Minbyul/mistral-7b-wo-kqa_silver_wogold-sft](https://huggingface.co/Minbyul/mistral-7b-wo-kqa_silver_wogold-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: 0.0530
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- Rewards/chosen: -2.4760
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- Rewards/rejected: -21.0723
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- Rewards/accuracies: 0.9700
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- Rewards/margins: 18.5963
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- Logps/rejected: -2709.2131
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- Logps/chosen: -407.7003
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- Logits/rejected: -2.0225
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- Logits/chosen: -2.2276
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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": 0.24172405860846555,
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"train_runtime": 5168.5497,
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"train_samples": 20204,
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{
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"epoch": 1.0,
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"eval_logits/chosen": -2.227571487426758,
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"eval_logits/rejected": -2.0224978923797607,
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"eval_logps/chosen": -407.7003173828125,
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"eval_logps/rejected": -2709.213134765625,
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"eval_loss": 0.0529978983104229,
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"eval_rewards/accuracies": 0.9700000286102295,
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"eval_rewards/chosen": -2.475966691970825,
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"eval_rewards/margins": 18.596342086791992,
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"eval_rewards/rejected": -21.072311401367188,
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"eval_runtime": 86.3233,
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"eval_samples": 788,
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"eval_samples_per_second": 9.128,
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"eval_steps_per_second": 0.29,
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"train_loss": 0.24172405860846555,
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"train_runtime": 5168.5497,
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"train_samples": 20204,
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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": -2.227571487426758,
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"eval_logits/rejected": -2.0224978923797607,
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"eval_logps/chosen": -407.7003173828125,
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"eval_logps/rejected": -2709.213134765625,
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"eval_loss": 0.0529978983104229,
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"eval_rewards/accuracies": 0.9700000286102295,
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"eval_rewards/chosen": -2.475966691970825,
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"eval_rewards/margins": 18.596342086791992,
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"eval_rewards/rejected": -21.072311401367188,
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"eval_runtime": 86.3233,
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"eval_samples": 788,
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"eval_samples_per_second": 9.128,
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"eval_steps_per_second": 0.29
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}
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