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End of training

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Files changed (4) hide show
  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
@@ -2,9 +2,15 @@
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  license: llama2
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  base_model: epfl-llm/meditron-7b
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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-wo-medication_qa-ep3
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  results: []
@@ -15,17 +21,17 @@ should probably proofread and complete it, then remove this comment. -->
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  # meditron-7b-dpo-full-wo-medication_qa-ep3
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- This model is a fine-tuned version of [epfl-llm/meditron-7b](https://huggingface.co/epfl-llm/meditron-7b) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6293
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- - Rewards/chosen: -0.0145
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- - Rewards/rejected: -0.1627
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- - Rewards/accuracies: 0.7797
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- - Rewards/margins: 0.1482
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- - Logps/rejected: -1615.9989
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- - Logps/chosen: -955.1961
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- - Logits/rejected: -0.8722
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- - Logits/chosen: -0.7069
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  ## Model description
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  license: llama2
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  base_model: epfl-llm/meditron-7b
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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-wo-medication_qa-ep3
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  results: []
 
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  # meditron-7b-dpo-full-wo-medication_qa-ep3
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+ This model is a fine-tuned version of [epfl-llm/meditron-7b](https://huggingface.co/epfl-llm/meditron-7b) on the HuggingFaceH4/ultrafeedback_binarized dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5850
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+ - Rewards/chosen: -0.2075
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+ - Rewards/rejected: -0.5850
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+ - Rewards/accuracies: 0.7881
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+ - Rewards/margins: 0.3775
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+ - Logps/rejected: -1658.2283
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+ - Logps/chosen: -974.4987
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+ - Logits/rejected: -0.8799
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+ - Logits/chosen: -0.7592
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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": 0.5914445311983646,
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  "train_runtime": 2922.1625,
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  "train_samples": 11603,
 
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  {
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  "epoch": 1.0,
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+ "eval_logits/chosen": -0.7592486143112183,
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+ "eval_logits/rejected": -0.87989342212677,
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+ "eval_logps/chosen": -974.4986572265625,
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+ "eval_logps/rejected": -1658.228271484375,
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+ "eval_loss": 0.5849764347076416,
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+ "eval_rewards/accuracies": 0.7881355881690979,
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+ "eval_rewards/chosen": -0.20753850042819977,
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+ "eval_rewards/margins": 0.3774545192718506,
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+ "eval_rewards/rejected": -0.5849930644035339,
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+ "eval_runtime": 215.1803,
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+ "eval_samples": 1864,
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+ "eval_samples_per_second": 8.663,
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+ "eval_steps_per_second": 0.274,
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  "train_loss": 0.5914445311983646,
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  "train_runtime": 2922.1625,
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  "train_samples": 11603,
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
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 1.0,
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+ "eval_logits/chosen": -0.7592486143112183,
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+ "eval_logits/rejected": -0.87989342212677,
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+ "eval_logps/chosen": -974.4986572265625,
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+ "eval_logps/rejected": -1658.228271484375,
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+ "eval_loss": 0.5849764347076416,
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+ "eval_rewards/accuracies": 0.7881355881690979,
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+ "eval_rewards/chosen": -0.20753850042819977,
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+ "eval_rewards/margins": 0.3774545192718506,
11
+ "eval_rewards/rejected": -0.5849930644035339,
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+ "eval_runtime": 215.1803,
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+ "eval_samples": 1864,
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+ "eval_samples_per_second": 8.663,
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+ "eval_steps_per_second": 0.274
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+ }