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: 0.6931
- Rewards/chosen: -1.9201
- Rewards/rejected: -1.9201
- Rewards/accuracies: 0.0
- Rewards/margins: 0.0
- Logps/rejected: -159.4172
- Logps/chosen: -159.4172
- Logits/rejected: -3.2283
- Logits/chosen: -3.2283
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.3536 | 0.29 | 100 | 0.6931 | -1.3869 | -1.3869 | 0.0 | 0.0 | -158.3509 | -158.3509 | -3.2370 | -3.2370 |
| 0.3091 | 0.57 | 200 | 0.6931 | -1.8814 | -1.8814 | 0.0 | 0.0 | -159.3398 | -159.3398 | -3.2304 | -3.2304 |
| 0.3363 | 0.86 | 300 | 0.6931 | -1.9201 | -1.9201 | 0.0 | 0.0 | -159.4172 | -159.4172 | -3.2283 | -3.2283 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.2