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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: 0.4983 |
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- Rewards/chosen: -2.4880 |
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- Rewards/rejected: -3.6063 |
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- Rewards/accuracies: 0.7695 |
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- Rewards/margins: 1.1182 |
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- Logps/rejected: -623.3074 |
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- Logps/chosen: -511.4043 |
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- Logits/rejected: 0.0233 |
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- Logits/chosen: -0.4369 |
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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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| 0.5875 | 0.21 | 100 | 0.5814 | -0.6485 | -1.1103 | 0.6953 | 0.4618 | -373.7126 | -327.4548 | -1.8929 | -1.8392 | |
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| 0.5306 | 0.42 | 200 | 0.5258 | -1.1476 | -1.9595 | 0.7578 | 0.8118 | -458.6297 | -377.3649 | -0.1647 | -0.4835 | |
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| 0.5097 | 0.63 | 300 | 0.5079 | -2.3601 | -3.3817 | 0.7656 | 1.0216 | -600.8517 | -498.6086 | -0.0574 | -0.4658 | |
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| 0.4906 | 0.84 | 400 | 0.5000 | -2.3681 | -3.4811 | 0.7695 | 1.1129 | -610.7911 | -499.4172 | -0.0390 | -0.5081 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
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