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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: 0.4980 |
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- Rewards/chosen: -2.1242 |
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- Rewards/rejected: -3.0843 |
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- Rewards/accuracies: 0.7380 |
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- Rewards/margins: 0.9601 |
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- Logps/rejected: -497.6194 |
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- Logps/chosen: -397.4371 |
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- Logits/rejected: -0.2690 |
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- Logits/chosen: -0.8689 |
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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: 1 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 8 |
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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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| 0.5294 | 0.2617 | 500 | 0.5470 | -1.7358 | -2.3925 | 0.6980 | 0.6567 | -428.4361 | -358.6011 | -0.4724 | -0.8639 | |
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| 0.5232 | 0.5234 | 1000 | 0.5099 | -1.9184 | -2.7566 | 0.7160 | 0.8382 | -464.8497 | -376.8646 | -0.0573 | -0.6162 | |
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| 0.4707 | 0.7851 | 1500 | 0.5000 | -2.1875 | -3.1436 | 0.7320 | 0.9561 | -503.5489 | -403.7713 | -0.0548 | -0.6702 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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