metadata
library_name: peft
tags:
- trl
- dpo
- DPO
- WeniGPT
- generated_from_trainer
base_model: Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged
model-index:
- name: WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.14-DPO
results: []
WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.14-DPO
This model is a fine-tuned version of Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1709
- Rewards/chosen: 1.9941
- Rewards/rejected: -0.4449
- Rewards/accuracies: 0.8571
- Rewards/margins: 2.4390
- Logps/rejected: -161.0436
- Logps/chosen: -111.4245
- Logits/rejected: -1.8499
- Logits/chosen: -1.8319
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 180
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.5263 | 0.9677 | 30 | 0.5183 | 0.3988 | -0.0166 | 0.7143 | 0.4154 | -159.6158 | -116.7421 | -1.8403 | -1.8221 |
| 0.2814 | 1.9355 | 60 | 0.3516 | 0.9688 | -0.0208 | 0.7143 | 0.9896 | -159.6299 | -114.8421 | -1.8443 | -1.8259 |
| 0.1778 | 2.9032 | 90 | 0.2655 | 1.3864 | -0.0997 | 0.8571 | 1.4861 | -159.8928 | -113.4503 | -1.8470 | -1.8286 |
| 0.1388 | 3.8710 | 120 | 0.2128 | 1.7020 | -0.2501 | 0.8571 | 1.9521 | -160.3941 | -112.3981 | -1.8494 | -1.8311 |
| 0.1349 | 4.8387 | 150 | 0.1841 | 1.9322 | -0.3766 | 0.8571 | 2.3088 | -160.8158 | -111.6308 | -1.8499 | -1.8319 |
| 0.1178 | 5.8065 | 180 | 0.1709 | 1.9941 | -0.4449 | 0.8571 | 2.4390 | -161.0436 | -111.4245 | -1.8499 | -1.8319 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.1.0+cu118
- Datasets 2.18.0
- Tokenizers 0.19.1