library_name, tags, model-index
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zephyr-7b-gemma-dpo
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5287
- Rewards/chosen: 0.4753
- Rewards/rejected: -0.1181
- Rewards/accuracies: 0.7708
- Rewards/margins: 0.5934
- Logps/rejected: -326.4217
- Logps/chosen: -277.1591
- Logits/rejected: -1.3248
- Logits/chosen: -1.3362
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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.5532 | 0.9858 | 52 | 0.5591 | 0.4980 | 0.0692 | 0.7604 | 0.4288 | -322.6760 | -276.7043 | -1.3205 | -1.3316 |
| 0.4562 | 1.9716 | 104 | 0.5287 | 0.4753 | -0.1181 | 0.7708 | 0.5934 | -326.4217 | -277.1591 | -1.3248 | -1.3362 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+rocm6.2
- Datasets 3.2.0
- Tokenizers 0.20.3