--- license: mit base_model: openai-community/gpt2 tags: - trl - dpo - generated_from_trainer model-index: - name: mistral_test results: [] --- # mistral_test This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on the None dataset. It achieves the following results on the evaluation set: - Loss: nan - Rewards/chosen: nan - Rewards/rejected: nan - Rewards/accuracies: 0.0 - Rewards/margins: nan - Logps/rejected: nan - Logps/chosen: nan - Logits/rejected: nan - Logits/chosen: nan ## 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: 0.0002 - train_batch_size: 4 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 2 - training_steps: 50 - 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 | |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| | 0.0 | 0.0 | 10 | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | | 0.0 | 0.0 | 20 | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | | 0.0 | 0.0 | 30 | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | | 0.0 | 0.0 | 40 | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | | 0.0 | 0.0 | 50 | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | ### Framework versions - Transformers 4.37.2 - Pytorch 1.11.0+cu113 - Datasets 2.17.0 - Tokenizers 0.15.1