zephyr-7b-dpo-full
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2016
- Rewards/chosen: -5.9224
- Rewards/rejected: -7.8036
- Rewards/accuracies: 0.7380
- Rewards/margins: 1.8812
- Logps/rejected: -3.9018
- Logps/chosen: -2.9612
- Logits/rejected: -1.8800
- Logits/chosen: -1.8679
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: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- 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: 0.1
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.2816 | 0.8375 | 400 | 1.2016 | -5.9224 | -7.8036 | 0.7380 | 1.8812 | -3.9018 | -2.9612 | -1.8800 | -1.8679 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.0+cu121
- Datasets 2.14.6
- Tokenizers 0.20.1
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