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End of training

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Files changed (4) hide show
  1. README.md +17 -1
  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: llama2
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  base_model: Minbyul/meditron-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: meditron-7b-dpo-full-sft-wo-live_qa
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  results: []
@@ -15,7 +21,17 @@ should probably proofread and complete it, then remove this comment. -->
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  # meditron-7b-dpo-full-sft-wo-live_qa
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- This model is a fine-tuned version of [Minbyul/meditron-7b-wo-live_qa-sft](https://huggingface.co/Minbyul/meditron-7b-wo-live_qa-sft) on an unknown dataset.
 
 
 
 
 
 
 
 
 
 
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  ## Model description
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  license: llama2
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  base_model: Minbyul/meditron-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: meditron-7b-dpo-full-sft-wo-live_qa
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  results: []
 
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  # meditron-7b-dpo-full-sft-wo-live_qa
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+ This model is a fine-tuned version of [Minbyul/meditron-7b-wo-live_qa-sft](https://huggingface.co/Minbyul/meditron-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: 0.6677
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+ - Rewards/chosen: -0.0447
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+ - Rewards/rejected: -0.1284
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+ - Rewards/accuracies: 0.875
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+ - Rewards/margins: 0.0838
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+ - Logps/rejected: -656.5873
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+ - Logps/chosen: -92.6797
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+ - Logits/rejected: -1.2739
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+ - Logits/chosen: -1.2205
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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": 0.99,
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "train_loss": 0.5556549103029312,
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  "train_runtime": 1091.242,
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  "train_samples": 3974,
 
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  {
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  "epoch": 0.99,
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+ "eval_logits/chosen": -1.2204631567001343,
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+ "eval_logits/rejected": -1.2738878726959229,
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+ "eval_logps/chosen": -92.67973327636719,
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+ "eval_logps/rejected": -656.5872802734375,
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+ "eval_loss": 0.6677024960517883,
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+ "eval_rewards/accuracies": 0.875,
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+ "eval_rewards/chosen": -0.04467713087797165,
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+ "eval_rewards/margins": 0.0837688222527504,
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+ "eval_rewards/rejected": -0.12844595313072205,
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+ "eval_runtime": 9.5521,
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+ "eval_samples": 56,
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+ "eval_samples_per_second": 5.863,
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+ "eval_steps_per_second": 0.209,
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  "train_loss": 0.5556549103029312,
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  "train_runtime": 1091.242,
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  "train_samples": 3974,
config.json CHANGED
@@ -23,6 +23,6 @@
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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": 32017
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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": 32017
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  }
eval_results.json ADDED
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+ {
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+ "epoch": 0.99,
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+ "eval_logits/chosen": -1.2204631567001343,
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+ "eval_logits/rejected": -1.2738878726959229,
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+ "eval_logps/chosen": -92.67973327636719,
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+ "eval_logps/rejected": -656.5872802734375,
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+ "eval_loss": 0.6677024960517883,
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+ "eval_rewards/accuracies": 0.875,
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+ "eval_rewards/chosen": -0.04467713087797165,
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+ "eval_rewards/margins": 0.0837688222527504,
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+ "eval_rewards/rejected": -0.12844595313072205,
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+ "eval_runtime": 9.5521,
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+ "eval_samples": 56,
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+ "eval_samples_per_second": 5.863,
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+ "eval_steps_per_second": 0.209
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+ }