metadata
library_name: transformers
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 an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5081
- Rewards/chosen: -0.8089
- Rewards/rejected: -1.7175
- Rewards/accuracies: 0.7812
- Rewards/margins: 0.9087
- Logps/rejected: -429.9339
- Logps/chosen: -339.4197
- Logits/rejected: -0.8678
- Logits/chosen: -0.9971
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: 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.4908 | 0.9984 | 477 | 0.5081 | -0.8089 | -1.7175 | 0.7812 | 0.9087 | -429.9339 | -339.4197 | -0.8678 | -0.9971 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+rocm6.2
- Datasets 3.5.0
- Tokenizers 0.20.3