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End of training

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  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-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: meditron-7b-dpo-full-sft-wo-kqa_silver_wogold
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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-kqa_silver_wogold
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- This model is a fine-tuned version of [Minbyul/meditron-7b-wo-kqa_silver_wogold-sft](https://huggingface.co/Minbyul/meditron-7b-wo-kqa_silver_wogold-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-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: meditron-7b-dpo-full-sft-wo-kqa_silver_wogold
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  results: []
 
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  # meditron-7b-dpo-full-sft-wo-kqa_silver_wogold
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+ This model is a fine-tuned version of [Minbyul/meditron-7b-wo-kqa_silver_wogold-sft](https://huggingface.co/Minbyul/meditron-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: 0.6249
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+ - Rewards/chosen: -0.0145
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+ - Rewards/rejected: -0.1983
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+ - Rewards/accuracies: 0.875
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+ - Rewards/margins: 0.1839
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+ - Logps/rejected: -653.1394
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+ - Logps/chosen: -150.2214
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+ - Logits/rejected: -1.0337
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+ - Logits/chosen: -1.4037
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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": 0.5552032154340011,
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  "train_runtime": 696.2336,
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  "train_samples": 3326,
 
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  {
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  "epoch": 1.0,
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+ "eval_logits/chosen": -1.4037474393844604,
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+ "eval_logits/rejected": -1.0336650609970093,
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+ "eval_logps/chosen": -150.22137451171875,
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+ "eval_logps/rejected": -653.139404296875,
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+ "eval_loss": 0.6249053478240967,
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+ "eval_rewards/accuracies": 0.875,
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+ "eval_rewards/chosen": -0.014455685392022133,
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+ "eval_rewards/margins": 0.18389175832271576,
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+ "eval_rewards/rejected": -0.19834741950035095,
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+ "eval_runtime": 73.8566,
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+ "eval_samples": 704,
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+ "eval_samples_per_second": 9.532,
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+ "eval_steps_per_second": 0.298,
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  "train_loss": 0.5552032154340011,
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  "train_runtime": 696.2336,
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  "train_samples": 3326,
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": -1.4037474393844604,
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+ "eval_logits/rejected": -1.0336650609970093,
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+ "eval_logps/chosen": -150.22137451171875,
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+ "eval_logps/rejected": -653.139404296875,
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+ "eval_loss": 0.6249053478240967,
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+ "eval_rewards/accuracies": 0.875,
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+ "eval_rewards/chosen": -0.014455685392022133,
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+ "eval_rewards/margins": 0.18389175832271576,
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+ "eval_rewards/rejected": -0.19834741950035095,
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+ "eval_runtime": 73.8566,
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+ "eval_samples": 704,
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+ "eval_samples_per_second": 9.532,
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+ "eval_steps_per_second": 0.298
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+ }