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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: 0.5026 |
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- Rewards/chosen: -1.0472 |
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- Rewards/rejected: -1.9901 |
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- Rewards/accuracies: 0.7619 |
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- Rewards/margins: 0.9430 |
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- Logps/rejected: -460.7913 |
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- Logps/chosen: -388.8264 |
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- Logits/rejected: 1.7625 |
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- Logits/chosen: 1.0392 |
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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: 615 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 32 |
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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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| 0.5736 | 0.21 | 100 | 0.5842 | -0.3837 | -0.8468 | 0.7242 | 0.4632 | -346.4596 | -322.4754 | -2.3510 | -2.4330 | |
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| 0.5116 | 0.42 | 200 | 0.5308 | -0.9042 | -1.7331 | 0.7520 | 0.8289 | -435.0859 | -374.5288 | 0.5012 | 0.0459 | |
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| 0.5027 | 0.63 | 300 | 0.5084 | -0.8877 | -1.7467 | 0.7639 | 0.8590 | -436.4478 | -372.8834 | 1.8224 | 1.1385 | |
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| 0.4823 | 0.84 | 400 | 0.5037 | -1.1953 | -2.1521 | 0.7619 | 0.9568 | -476.9852 | -403.6375 | 1.9978 | 1.3075 | |
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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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