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Model save

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README.md CHANGED
@@ -3,15 +3,10 @@ library_name: transformers
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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-align-scan-0.0-0.0-polynomial-2
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  results: []
@@ -22,17 +17,17 @@ should probably proofread and complete it, then remove this comment. -->
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  # zephyr-7b-align-scan-0.0-0.0-polynomial-2
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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: 0.6399
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- - Rewards/chosen: -0.2376
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- - Rewards/rejected: -0.5744
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- - Rewards/accuracies: 0.3333
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- - Rewards/margins: 0.3368
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- - Logps/rejected: -96.4576
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- - Logps/chosen: -80.8310
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- - Logits/rejected: -2.3598
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- - Logits/chosen: -2.3790
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  ## Model description
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@@ -51,7 +46,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 4.045909641846537e-07
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
@@ -67,9 +62,9 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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- |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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- | 0.5735 | 1.0417 | 100 | 0.6444 | -0.1722 | -0.3813 | 0.3234 | 0.2091 | -91.3032 | -79.0868 | -2.3982 | -2.4166 |
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  ### Framework versions
 
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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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+ - alignment-handbook
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  - generated_from_trainer
 
 
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  model-index:
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  - name: zephyr-7b-align-scan-0.0-0.0-polynomial-2
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  results: []
 
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  # zephyr-7b-align-scan-0.0-0.0-polynomial-2
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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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+ - Logits/chosen: -2.4166
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+ - Logits/rejected: -2.3982
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+ - Logps/chosen: -79.0868
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+ - Logps/rejected: -91.3032
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+ - Loss: 0.6444
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+ - Rewards/accuracies: 0.3234
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+ - Rewards/chosen: -0.1722
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+ - Rewards/margins: 0.2091
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+ - Rewards/rejected: -0.3813
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 2.9843836387024965e-07
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
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+ |:-------------:|:------:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
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+ | 0.5735 | 1.0417 | 100 | -2.4166 | -2.3982 | -79.0868 | -91.3032 | 0.6444 | 0.3234 | -0.1722 | 0.2091 | -0.3813 |
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  ### Framework versions
all_results.json CHANGED
@@ -14,9 +14,9 @@
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  "eval_samples_per_second": 17.552,
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  "eval_steps_per_second": 0.553,
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  "train_samples": 6113,
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- "train_steps_per_second": 0.076
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  }
 
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  "eval_samples_per_second": 17.552,
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  "train_samples": 6113,
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config.json CHANGED
@@ -22,6 +22,6 @@
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  "tie_word_embeddings": false,
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  "torch_dtype": "bfloat16",
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  "transformers_version": "4.44.2",
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- "use_cache": true,
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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": "4.44.2",
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+ "use_cache": false,
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  "vocab_size": 32000
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  }
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trainer_state.json CHANGED
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