metadata
library_name: peft
tags:
- trl
- dpo
- DPO
- WeniGPT
- generated_from_trainer
base_model: Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged
model-index:
- name: WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.6-DPO
results: []
WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.6-DPO
This model is a fine-tuned version of Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4369
- Rewards/chosen: 1.0224
- Rewards/rejected: -0.1812
- Rewards/accuracies: 0.5
- Rewards/margins: 1.2036
- Logps/rejected: -55.7310
- Logps/chosen: -34.8112
- Logits/rejected: -1.8517
- Logits/chosen: -1.8185
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-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 90
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.5772 | 1.94 | 30 | 0.5171 | 0.5191 | -0.0654 | 0.5 | 0.5845 | -55.3450 | -36.4889 | -1.8456 | -1.8132 |
| 0.5125 | 3.87 | 60 | 0.4517 | 0.8981 | -0.1507 | 0.5 | 1.0487 | -55.6293 | -35.2258 | -1.8501 | -1.8170 |
| 0.491 | 5.81 | 90 | 0.4369 | 1.0224 | -0.1812 | 0.5 | 1.2036 | -55.7310 | -34.8112 | -1.8517 | -1.8185 |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2