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--- |
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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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- 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 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# zephyr-7b-dpo-full |
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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: 0.5042 |
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- Rewards/chosen: -1.0500 |
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- Rewards/rejected: -2.0480 |
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- Rewards/accuracies: 0.7539 |
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- Rewards/margins: 0.9980 |
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- Logps/rejected: -468.1450 |
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- Logps/chosen: -368.4135 |
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- Logits/rejected: 2.3821 |
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- Logits/chosen: 1.6141 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-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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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 1 |
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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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| 0.5723 | 0.21 | 100 | 0.5851 | -0.4097 | -0.8752 | 0.7031 | 0.4655 | -350.8695 | -304.3812 | -2.3494 | -2.4070 | |
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| 0.5084 | 0.42 | 200 | 0.5251 | -0.9116 | -1.7472 | 0.7422 | 0.8355 | -438.0663 | -354.5790 | 1.3918 | 0.9248 | |
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| 0.5059 | 0.63 | 300 | 0.5130 | -0.8646 | -1.7542 | 0.75 | 0.8896 | -438.7735 | -349.8758 | 2.0331 | 1.2558 | |
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| 0.4853 | 0.84 | 400 | 0.5050 | -1.0929 | -2.1085 | 0.7539 | 1.0156 | -474.1963 | -372.7067 | 2.5922 | 1.8194 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.0 |
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