metadata
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-full
results: []
zephyr-7b-dpo-full
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9828
- Rewards/chosen: -3.4223
- Rewards/rejected: -2.1126
- Rewards/accuracies: 0.3555
- Rewards/margins: -1.3097
- Logps/rejected: -521.2875
- Logps/chosen: -405.8879
- Logits/rejected: -4.9364
- Logits/chosen: -4.7068
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-08
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.3652 | 0.29 | 100 | 1.7488 | -2.2159 | -1.0097 | 0.3516 | -1.2062 | -519.0817 | -403.4752 | -4.9249 | -4.6962 |
| 0.312 | 0.57 | 200 | 1.9596 | -3.1949 | -1.8164 | 0.3398 | -1.3786 | -520.6950 | -405.4332 | -4.9391 | -4.7096 |
| 0.2993 | 0.86 | 300 | 1.9828 | -3.4223 | -2.1126 | 0.3555 | -1.3097 | -521.2875 | -405.8879 | -4.9364 | -4.7068 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.2