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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: 0.5020 |
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- Rewards/chosen: -0.8985 |
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- Rewards/rejected: -1.8744 |
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- Rewards/accuracies: 0.7812 |
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- Rewards/margins: 0.9759 |
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- Logps/rejected: -450.1291 |
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- Logps/chosen: -352.4258 |
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- Logits/rejected: 1.7371 |
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- Logits/chosen: 0.9003 |
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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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| 0.5709 | 0.2092 | 100 | 0.5765 | -0.3415 | -0.8321 | 0.7305 | 0.4906 | -345.8958 | -296.7220 | -1.0885 | -1.2465 | |
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| 0.5427 | 0.4184 | 200 | 0.5256 | -0.7352 | -1.5375 | 0.7695 | 0.8022 | -416.4311 | -336.0986 | 0.9059 | 0.1815 | |
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| 0.4892 | 0.6276 | 300 | 0.5082 | -0.8910 | -1.8210 | 0.7695 | 0.9300 | -444.7822 | -351.6719 | 1.3892 | 0.5828 | |
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| 0.5037 | 0.8368 | 400 | 0.5031 | -0.8365 | -1.7881 | 0.7852 | 0.9517 | -441.4968 | -346.2211 | 1.6106 | 0.7959 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0 |
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- Datasets 3.1.0 |
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- Tokenizers 0.19.1 |
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