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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: 0.5018 |
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- Rewards/chosen: -1.1027 |
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- Rewards/rejected: -2.0673 |
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- Rewards/accuracies: 0.7656 |
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- Rewards/margins: 0.9646 |
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- Logps/rejected: -469.4237 |
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- Logps/chosen: -372.8636 |
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- Logits/rejected: -0.4162 |
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- Logits/chosen: -1.1470 |
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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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| 0.5767 | 0.21 | 100 | 0.5762 | -0.5418 | -1.0929 | 0.7148 | 0.5512 | -371.9847 | -316.7739 | -1.7636 | -1.7624 | |
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| 0.5185 | 0.42 | 200 | 0.5312 | -1.0541 | -1.7947 | 0.7656 | 0.7407 | -442.1638 | -368.0010 | -0.6928 | -1.0192 | |
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| 0.5166 | 0.63 | 300 | 0.5114 | -1.1529 | -2.0654 | 0.7539 | 0.9125 | -469.2292 | -377.8804 | -0.6568 | -1.2977 | |
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| 0.5003 | 0.84 | 400 | 0.5023 | -1.0875 | -2.0687 | 0.7695 | 0.9812 | -469.5586 | -371.3432 | -0.3666 | -1.1044 | |
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### Framework versions |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.1.dev0 |
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- Tokenizers 0.15.2 |
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