--- license: apache-2.0 tags: - generated_from_trainer metrics: - f1 model-index: - name: try-out-model results: [] --- # try-out-model This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.0210 - F1: 0.8037 ## 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: 2e-05 - train_batch_size: 12 - eval_batch_size: 12 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 4 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | F1 | |:-------------:|:-----:|:----:|:---------------:|:------:| | 3.1006 | 1.0 | 188 | 2.4095 | 0.4504 | | 1.9221 | 2.0 | 376 | 1.5023 | 0.7072 | | 1.2765 | 3.0 | 564 | 1.1263 | 0.7895 | | 0.9936 | 4.0 | 752 | 1.0210 | 0.8037 | ### Framework versions - Transformers 4.25.1 - Pytorch 1.13.1+cu116 - Tokenizers 0.13.2