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End of training

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  1. README.md +15 -9
  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: alignment-handbook/zephyr-7b-sft-full
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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: zephyr-7b-dpo-full-ultrabin-high-margin-3-epochs
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  results: []
@@ -15,17 +21,17 @@ should probably proofread and complete it, then remove this comment. -->
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  # zephyr-7b-dpo-full-ultrabin-high-margin-3-epochs
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- This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5884
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- - Rewards/chosen: -2.9614
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- - Rewards/rejected: -4.9020
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  - Rewards/accuracies: 0.7578
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- - Rewards/margins: 1.9406
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- - Logps/rejected: -752.8591
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- - Logps/chosen: -558.7693
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- - Logits/rejected: 3.7820
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- - Logits/chosen: 2.5008
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  ## Model description
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  license: apache-2.0
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  base_model: alignment-handbook/zephyr-7b-sft-full
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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: zephyr-7b-dpo-full-ultrabin-high-margin-3-epochs
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  results: []
 
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  # zephyr-7b-dpo-full-ultrabin-high-margin-3-epochs
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+ This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the HuggingFaceH4/ultrafeedback_binarized dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5894
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+ - Rewards/chosen: -2.9914
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+ - Rewards/rejected: -4.9379
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  - Rewards/accuracies: 0.7578
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+ - Rewards/margins: 1.9464
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+ - Logps/rejected: -756.4492
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+ - Logps/chosen: -561.7738
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+ - Logits/rejected: 3.7803
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+ - Logits/chosen: 2.4993
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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": 2.989547038327526,
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "total_flos": 0.0,
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  "train_loss": 0.22287911155840734,
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  "train_runtime": 11425.5472,
 
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  {
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  "epoch": 2.989547038327526,
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+ "eval_logits/chosen": 2.499317169189453,
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+ "eval_logits/rejected": 3.780329704284668,
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+ "eval_logps/chosen": -561.7738037109375,
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+ "eval_logps/rejected": -756.44921875,
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+ "eval_loss": 0.5893987417221069,
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+ "eval_rewards/accuracies": 0.7578125,
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+ "eval_rewards/chosen": -2.991438865661621,
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+ "eval_rewards/margins": 1.9464330673217773,
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+ "eval_rewards/rejected": -4.93787145614624,
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+ "eval_runtime": 104.5148,
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+ "eval_samples": 2000,
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+ "eval_samples_per_second": 19.136,
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+ "eval_steps_per_second": 0.306,
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  "total_flos": 0.0,
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  "train_loss": 0.22287911155840734,
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  "train_runtime": 11425.5472,
config.json CHANGED
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  "tie_word_embeddings": false,
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  "torch_dtype": "bfloat16",
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  "transformers_version": "4.44.0.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": "4.44.0.dev0",
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+ "use_cache": true,
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  "vocab_size": 32000
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  }
eval_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 2.989547038327526,
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+ "eval_logits/chosen": 2.499317169189453,
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+ "eval_logits/rejected": 3.780329704284668,
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+ "eval_logps/chosen": -561.7738037109375,
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+ "eval_logps/rejected": -756.44921875,
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+ "eval_loss": 0.5893987417221069,
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+ "eval_rewards/accuracies": 0.7578125,
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+ "eval_rewards/chosen": -2.991438865661621,
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+ "eval_rewards/margins": 1.9464330673217773,
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+ "eval_rewards/rejected": -4.93787145614624,
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+ "eval_runtime": 104.5148,
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+ "eval_samples": 2000,
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+ "eval_samples_per_second": 19.136,
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+ "eval_steps_per_second": 0.306
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+ }