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--- |
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license: gemma |
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base_model: tanliboy/zephyr-gemma-2-9b-sft |
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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-gemma-2-9b-dpo-2 |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/tanliboy/huggingface/runs/dikk0994) |
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# zephyr-gemma-2-9b-dpo-2 |
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This model is a fine-tuned version of [tanliboy/zephyr-gemma-2-9b-sft](https://huggingface.co/tanliboy/zephyr-gemma-2-9b-sft) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5628 |
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- Rewards/chosen: -0.7292 |
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- Rewards/rejected: -1.2825 |
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- Rewards/accuracies: 0.6960 |
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- Rewards/margins: 0.5533 |
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- Logps/rejected: -1566.9301 |
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- Logps/chosen: -1043.5624 |
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- Logits/rejected: -14.1720 |
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- Logits/chosen: -14.6638 |
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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: 2 |
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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: 8 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 256 |
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- total_eval_batch_size: 16 |
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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: 0.2 |
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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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| 0.6835 | 0.2094 | 50 | 0.6815 | -0.0218 | -0.0436 | 0.6560 | 0.0218 | -328.0053 | -336.0947 | -11.6381 | -11.3403 | |
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| 0.6243 | 0.4187 | 100 | 0.6229 | -0.5238 | -0.7528 | 0.6600 | 0.2290 | -1037.2136 | -838.1255 | -15.5098 | -15.6787 | |
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| 0.5625 | 0.6281 | 150 | 0.5793 | -0.7186 | -1.1873 | 0.6880 | 0.4688 | -1471.7362 | -1032.8834 | -14.7746 | -15.1797 | |
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| 0.5699 | 0.8375 | 200 | 0.5647 | -0.6443 | -1.1499 | 0.6920 | 0.5057 | -1434.3335 | -958.5825 | -14.1861 | -14.6684 | |
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### Framework versions |
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- Transformers 4.43.1 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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