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End of training

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  1. README.md +16 -10
  2. all_results.json +13 -0
  3. config.json +1 -1
  4. eval_results.json +16 -0
README.md CHANGED
@@ -1,9 +1,15 @@
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  ---
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  base_model: Minbyul/selfbiorag-7b-wo-medication_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: selfbiorag-7b-dpo-full-sft-wo-medication_qa
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  results: []
@@ -14,17 +20,17 @@ should probably proofread and complete it, then remove this comment. -->
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  # selfbiorag-7b-dpo-full-sft-wo-medication_qa
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- This model is a fine-tuned version of [Minbyul/selfbiorag-7b-wo-medication_qa-sft](https://huggingface.co/Minbyul/selfbiorag-7b-wo-medication_qa-sft) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2756
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- - Rewards/chosen: -1.2277
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- - Rewards/rejected: -7.0991
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- - Rewards/accuracies: 0.8920
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- - Rewards/margins: 5.8714
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- - Logps/rejected: -1442.4718
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- - Logps/chosen: -679.6155
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- - Logits/rejected: -0.3283
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- - Logits/chosen: -0.3523
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  ## Model description
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  ---
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  base_model: Minbyul/selfbiorag-7b-wo-medication_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: selfbiorag-7b-dpo-full-sft-wo-medication_qa
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  results: []
 
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  # selfbiorag-7b-dpo-full-sft-wo-medication_qa
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+ This model is a fine-tuned version of [Minbyul/selfbiorag-7b-wo-medication_qa-sft](https://huggingface.co/Minbyul/selfbiorag-7b-wo-medication_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: 0.2758
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+ - Rewards/chosen: -1.2291
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+ - Rewards/rejected: -7.1014
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+ - Rewards/accuracies: 0.8949
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+ - Rewards/margins: 5.8722
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+ - Logps/rejected: -1442.6945
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+ - Logps/chosen: -679.7597
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+ - Logits/rejected: -0.3284
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+ - Logits/chosen: -0.3526
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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": 0.23439283587014406,
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  "train_runtime": 5872.9997,
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  "train_samples": 19761,
 
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  {
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  "epoch": 1.0,
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+ "eval_logits/chosen": -0.3525831401348114,
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+ "eval_logits/rejected": -0.32840025424957275,
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+ "eval_logps/chosen": -679.7597045898438,
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+ "eval_logps/rejected": -1442.6944580078125,
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+ "eval_loss": 0.275810569524765,
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+ "eval_rewards/accuracies": 0.8948863744735718,
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+ "eval_rewards/chosen": -1.229145884513855,
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+ "eval_rewards/margins": 5.8722147941589355,
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+ "eval_rewards/rejected": -7.101361274719238,
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+ "eval_runtime": 172.6817,
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+ "eval_samples": 1392,
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+ "eval_samples_per_second": 8.061,
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+ "eval_steps_per_second": 0.255,
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  "train_loss": 0.23439283587014406,
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  "train_runtime": 5872.9997,
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  "train_samples": 19761,
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": 32016
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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": 32016
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  }
eval_results.json ADDED
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+ {
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+ "epoch": 1.0,
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+ "eval_logits/chosen": -0.3525831401348114,
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+ "eval_logits/rejected": -0.32840025424957275,
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+ "eval_logps/chosen": -679.7597045898438,
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+ "eval_logps/rejected": -1442.6944580078125,
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+ "eval_loss": 0.275810569524765,
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+ "eval_rewards/accuracies": 0.8948863744735718,
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+ "eval_rewards/chosen": -1.229145884513855,
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+ "eval_rewards/margins": 5.8722147941589355,
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+ "eval_rewards/rejected": -7.101361274719238,
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+ "eval_runtime": 172.6817,
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+ "eval_samples": 1392,
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+ "eval_samples_per_second": 8.061,
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+ "eval_steps_per_second": 0.255
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+ }