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End of training

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  1. README.md +15 -9
  2. all_results.json +13 -0
  3. config.json +1 -1
  4. eval_results.json +16 -0
README.md CHANGED
@@ -2,9 +2,15 @@
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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: []
@@ -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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0531
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- - Rewards/chosen: -2.4855
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- - Rewards/rejected: -21.1345
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  - Rewards/accuracies: 0.9700
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- - Rewards/margins: 18.6490
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- - Logps/rejected: -2715.4331
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- - Logps/chosen: -408.6504
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- - Logits/rejected: -2.0210
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- - Logits/chosen: -2.2273
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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 CHANGED
@@ -1,5 +1,18 @@
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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,
config.json CHANGED
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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": false,
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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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  }
eval_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+ }