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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: apache-2.0
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  base_model: mistralai/Mistral-7B-v0.1
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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-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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  # mistral-7b-dpo-full-wo-medication_qa-ep3
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- This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Logits/chosen: -3.1281
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- - Logits/rejected: -2.9646
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- - Logps/chosen: -755.8733
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- - Logps/rejected: -1595.0167
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- - Loss: 0.3332
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- - Rewards/accuracies: 0.8686
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- - Rewards/chosen: -1.8907
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- - Rewards/margins: 3.9363
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- - Rewards/rejected: -5.8271
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  ## Model description
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  license: apache-2.0
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  base_model: mistralai/Mistral-7B-v0.1
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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-wo-medication_qa-ep3
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  results: []
 
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  # mistral-7b-dpo-full-wo-medication_qa-ep3
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+ This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the HuggingFaceH4/ultrafeedback_binarized dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3800
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+ - Rewards/chosen: -2.4212
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+ - Rewards/rejected: -6.9305
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+ - Rewards/accuracies: 0.8602
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+ - Rewards/margins: 4.5093
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+ - Logps/rejected: -1705.3644
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+ - Logps/chosen: -808.9231
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+ - Logits/rejected: -2.9073
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+ - Logits/chosen: -3.0809
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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": 0.05682134947606495,
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  "train_runtime": 921.1998,
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  "train_samples": 10744,
 
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  {
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  "epoch": 1.0,
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+ "eval_logits/chosen": -3.0808565616607666,
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+ "eval_logits/rejected": -2.90731143951416,
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+ "eval_logps/chosen": -808.923095703125,
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+ "eval_logps/rejected": -1705.3643798828125,
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+ "eval_loss": 0.3800393342971802,
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+ "eval_rewards/accuracies": 0.8601694703102112,
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+ "eval_rewards/chosen": -2.4212381839752197,
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+ "eval_rewards/margins": 4.509303569793701,
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+ "eval_rewards/rejected": -6.9305419921875,
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+ "eval_runtime": 193.7756,
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+ "eval_samples": 1868,
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+ "eval_samples_per_second": 9.64,
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+ "eval_steps_per_second": 0.304,
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  "train_loss": 0.05682134947606495,
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  "train_runtime": 921.1998,
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  "train_samples": 10744,
config.json CHANGED
@@ -21,6 +21,6 @@
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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": 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
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+ {
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+ "epoch": 1.0,
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+ "eval_logits/chosen": -3.0808565616607666,
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+ "eval_logits/rejected": -2.90731143951416,
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+ "eval_logps/chosen": -808.923095703125,
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+ "eval_logps/rejected": -1705.3643798828125,
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+ "eval_loss": 0.3800393342971802,
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+ "eval_rewards/accuracies": 0.8601694703102112,
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+ "eval_rewards/chosen": -2.4212381839752197,
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+ "eval_rewards/margins": 4.509303569793701,
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+ "eval_rewards/rejected": -6.9305419921875,
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+ "eval_runtime": 193.7756,
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+ "eval_samples": 1868,
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+ "eval_samples_per_second": 9.64,
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+ "eval_steps_per_second": 0.304
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+ }