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--- |
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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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- 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-uf-dpo-2e |
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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-uf-dpo-2e |
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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: 0.4996 |
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- Rewards/chosen: -1.5624 |
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- Rewards/rejected: -2.7607 |
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- Rewards/accuracies: 0.7734 |
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- Rewards/margins: 1.1983 |
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- Logps/rejected: -538.7272 |
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- Logps/chosen: -418.8674 |
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- Logits/rejected: 2.1269 |
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- Logits/chosen: 1.2559 |
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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: 4 |
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- total_train_batch_size: 256 |
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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: 2 |
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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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| 0.5424 | 0.5021 | 120 | 0.5378 | -0.5794 | -1.3437 | 0.7578 | 0.7642 | -397.0288 | -320.5744 | -0.5261 | -0.7461 | |
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| 0.4857 | 1.0042 | 240 | 0.5071 | -0.9384 | -1.8536 | 0.7695 | 0.9153 | -448.0264 | -356.4662 | 0.8934 | 0.1618 | |
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| 0.3605 | 1.5063 | 360 | 0.4996 | -1.5624 | -2.7607 | 0.7734 | 1.1983 | -538.7272 | -418.8674 | 2.1269 | 1.2559 | |
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### Framework versions |
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- Transformers 4.44.1 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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