--- library_name: transformers tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: output results: [] --- # output 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: nan - Model Preparation Time: 0.0007 - Accuracy: 0.9944 - F1: 0.9917 - Iou: 0.9889 ## 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-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH 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: 100 - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Accuracy | F1 | Iou | |:-------------:|:-----:|:----:|:---------------:|:----------------------:|:--------:|:------:|:------:| | No log | 1.0 | 1 | 0.5669 | 0.0007 | 0.9944 | 0.9917 | 0.9889 | | No log | 2.0 | 2 | nan | 0.0007 | 0.9944 | 0.9917 | 0.9889 | | No log | 3.0 | 3 | nan | 0.0007 | 0.9944 | 0.9917 | 0.9889 | | No log | 4.0 | 4 | nan | 0.0007 | 0.9944 | 0.9917 | 0.9889 | | No log | 5.0 | 5 | nan | 0.0007 | 0.9944 | 0.9917 | 0.9889 | | No log | 6.0 | 6 | nan | 0.0007 | 0.9944 | 0.9917 | 0.9889 | | No log | 7.0 | 7 | nan | 0.0007 | 0.9944 | 0.9917 | 0.9889 | | No log | 8.0 | 8 | nan | 0.0007 | 0.9944 | 0.9917 | 0.9889 | | No log | 9.0 | 9 | nan | 0.0007 | 0.9944 | 0.9917 | 0.9889 | | No log | 10.0 | 10 | nan | 0.0007 | 0.9944 | 0.9917 | 0.9889 | ### Framework versions - Transformers 4.46.2 - Pytorch 2.5.1 - Datasets 2.21.0 - Tokenizers 0.20.3