metadata
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: selective-pairrm-33076849-mt1
results: []
selective-pairrm-33076849-mt1
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7142
- Rewards/chosen: -1.4159
- Rewards/rejected: -1.4967
- Rewards/accuracies: 0.5469
- Rewards/margins: 0.0808
- Logps/rejected: -567.3423
- Logps/chosen: -543.0017
- Logits/rejected: -3.1535
- Logits/chosen: -3.1646
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: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 32
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.5687 | 0.32 | 100 | 0.7266 | -1.4745 | -1.5426 | 0.5352 | 0.0681 | -571.9306 | -548.8583 | -3.1296 | -3.1416 |
| 0.5901 | 0.64 | 200 | 0.7177 | -1.4102 | -1.4850 | 0.5469 | 0.0748 | -566.1749 | -542.4269 | -3.1042 | -3.1156 |
| 0.6278 | 0.96 | 300 | 0.7142 | -1.4212 | -1.5010 | 0.5547 | 0.0798 | -567.7791 | -543.5320 | -3.1529 | -3.1641 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.15.0