zephyr-gemma-2-9b-dpo-2
This model is a fine-tuned version of tanliboy/zephyr-gemma-2-9b-sft on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:
- Loss: 0.5628
- Rewards/chosen: -0.7292
- Rewards/rejected: -1.2825
- Rewards/accuracies: 0.6960
- Rewards/margins: 0.5533
- Logps/rejected: -1566.9301
- Logps/chosen: -1043.5624
- Logits/rejected: -14.1720
- Logits/chosen: -14.6638
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-07
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6835 | 0.2094 | 50 | 0.6815 | -0.0218 | -0.0436 | 0.6560 | 0.0218 | -328.0053 | -336.0947 | -11.6381 | -11.3403 |
| 0.6243 | 0.4187 | 100 | 0.6229 | -0.5238 | -0.7528 | 0.6600 | 0.2290 | -1037.2136 | -838.1255 | -15.5098 | -15.6787 |
| 0.5625 | 0.6281 | 150 | 0.5793 | -0.7186 | -1.1873 | 0.6880 | 0.4688 | -1471.7362 | -1032.8834 | -14.7746 | -15.1797 |
| 0.5699 | 0.8375 | 200 | 0.5647 | -0.6443 | -1.1499 | 0.6920 | 0.5057 | -1434.3335 | -958.5825 | -14.1861 | -14.6684 |
Framework versions
- Transformers 4.43.1
- Pytorch 2.3.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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