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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: 0.2141 |
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- Rewards/chosen: 4.2427 |
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- Rewards/rejected: -5.5362 |
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- Rewards/accuracies: 0.9141 |
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- Rewards/margins: 9.7789 |
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- Logps/rejected: -191.0266 |
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- Logps/chosen: -248.9478 |
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- Logits/rejected: -2.4882 |
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- Logits/chosen: -2.5045 |
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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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| 0.3315 | 0.21 | 100 | 0.2975 | 3.4373 | -3.8279 | 0.9023 | 7.2653 | -187.6101 | -250.5587 | -2.5158 | -2.5301 | |
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| 0.2909 | 0.42 | 200 | 0.2754 | 4.8618 | -4.1200 | 0.9180 | 8.9818 | -188.1942 | -247.7097 | -2.5310 | -2.5459 | |
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| 0.6445 | 0.63 | 300 | 0.2245 | 4.2165 | -5.3713 | 0.9102 | 9.5878 | -190.6968 | -249.0004 | -2.4915 | -2.5059 | |
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| 0.2653 | 0.84 | 400 | 0.2103 | 4.5125 | -5.2808 | 0.9258 | 9.7933 | -190.5157 | -248.4084 | -2.4965 | -2.5123 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.2+cu118 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.2 |
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