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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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- 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 |
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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: 0.4968 |
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- Rewards/chosen: -1.2029 |
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- Rewards/rejected: -2.2447 |
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- Rewards/accuracies: 0.7617 |
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- Rewards/margins: 1.0418 |
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- Logps/rejected: -487.1403 |
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- Logps/chosen: -382.8826 |
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- Logits/rejected: 1.6118 |
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- Logits/chosen: 0.6753 |
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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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| 0.5632 | 0.2092 | 100 | 0.5684 | -0.8769 | -1.4450 | 0.7305 | 0.5681 | -407.1669 | -350.2800 | -0.3489 | -0.6128 | |
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| 0.5374 | 0.4184 | 200 | 0.5202 | -0.7727 | -1.5477 | 0.7852 | 0.7750 | -417.4406 | -339.8678 | -0.1011 | -0.6617 | |
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| 0.4826 | 0.6276 | 300 | 0.5018 | -1.1013 | -2.0815 | 0.7734 | 0.9802 | -470.8159 | -372.7218 | 1.3131 | 0.4518 | |
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| 0.495 | 0.8368 | 400 | 0.4969 | -1.1626 | -2.1853 | 0.7773 | 1.0227 | -481.1959 | -378.8522 | 1.4928 | 0.5873 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.1.2+cu118 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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