--- library_name: transformers tags: - generated_from_trainer model-index: - name: wanna-pilot results: [] --- # wanna-pilot This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.9860 ## 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: 0.0003 - train_batch_size: 16 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 8 - total_train_batch_size: 128 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 200 - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 1.9977 | 1.0 | 7813 | 2.0005 | | 1.9855 | 2.0 | 15626 | 1.9956 | | 1.9943 | 3.0 | 23439 | 1.9940 | | 1.9858 | 4.0 | 31252 | 1.9913 | | 1.9944 | 5.0 | 39065 | 1.9902 | | 1.9847 | 6.0 | 46878 | 1.9871 | | 1.9885 | 7.0 | 54691 | 1.9882 | | 1.9862 | 8.0 | 62504 | 1.9867 | | 2.0059 | 9.0 | 70317 | 1.9862 | | 1.9801 | 10.0 | 78130 | 1.9860 | ### Framework versions - Transformers 5.12.1 - Pytorch 2.12.0+cu130 - Datasets 5.0.0 - Tokenizers 0.22.2