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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: 0.5352 |
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- Rewards/chosen: 0.5766 |
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- Rewards/rejected: -0.3207 |
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- Rewards/accuracies: 0.7617 |
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- Rewards/margins: 0.8972 |
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- Logps/rejected: -269.0807 |
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- Logps/chosen: -251.0624 |
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- Logits/rejected: -2.4374 |
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- Logits/chosen: -2.4784 |
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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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| 0.565 | 0.21 | 100 | 0.5718 | 0.5950 | -0.0056 | 0.7383 | 0.6006 | -262.7792 | -250.6930 | -2.5105 | -2.5504 | |
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| 0.5467 | 0.42 | 200 | 0.5433 | 0.6478 | -0.1115 | 0.7461 | 0.7594 | -264.8979 | -249.6371 | -2.4783 | -2.5179 | |
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| 0.517 | 0.63 | 300 | 0.5370 | 0.5686 | -0.2689 | 0.7695 | 0.8374 | -268.0445 | -251.2220 | -2.5203 | -2.5623 | |
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| 0.518 | 0.84 | 400 | 0.5348 | 0.6286 | -0.2212 | 0.7539 | 0.8498 | -267.0915 | -250.0218 | -2.4324 | -2.4731 | |
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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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