metadata
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: selective-pairrm-33079692-mt2
results: []
selective-pairrm-33079692-mt2
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7212
- Rewards/chosen: -2.3879
- Rewards/rejected: -2.5044
- Rewards/accuracies: 0.5742
- Rewards/margins: 0.1164
- Logps/rejected: -817.7779
- Logps/chosen: -781.7959
- Logits/rejected: -3.0082
- Logits/chosen: -3.0229
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.3678 | 0.32 | 100 | 0.8166 | -3.5115 | -3.6302 | 0.5703 | 0.1186 | -930.3584 | -894.1545 | -3.2211 | -3.2330 |
| 0.5115 | 0.64 | 200 | 0.7558 | -2.9722 | -3.0863 | 0.5781 | 0.1141 | -875.9759 | -840.2244 | -2.8707 | -2.8897 |
| 0.6156 | 0.96 | 300 | 0.7196 | -2.3861 | -2.5020 | 0.5703 | 0.1159 | -817.5390 | -781.6083 | -3.0086 | -3.0233 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.15.0