zephyr-6b-dpo-full
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5676
- Rewards/chosen: -0.5685
- Rewards/rejected: -1.1091
- Rewards/accuracies: 0.7305
- Rewards/margins: 0.5407
- Logps/rejected: -384.2899
- Logps/chosen: -336.4684
- Logits/rejected: -0.9166
- Logits/chosen: -0.9852
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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- 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: 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6548 | 0.21 | 100 | 0.6548 | -0.1060 | -0.2092 | 0.6680 | 0.1032 | -294.2936 | -290.2218 | -0.6577 | -0.7018 |
| 0.5881 | 0.42 | 200 | 0.5968 | -0.3050 | -0.6575 | 0.6875 | 0.3525 | -339.1259 | -310.1252 | -0.7415 | -0.8023 |
| 0.5753 | 0.63 | 300 | 0.5734 | -0.4917 | -0.9768 | 0.7227 | 0.4851 | -371.0564 | -328.7914 | -0.7579 | -0.8263 |
| 0.5602 | 0.84 | 400 | 0.5689 | -0.4964 | -1.0157 | 0.7344 | 0.5193 | -374.9490 | -329.2605 | -0.8579 | -0.9263 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.1