--- license: apache-2.0 tags: - generated_from_trainer base_model: bert-base-uncased model-index: - name: stop_reasons_classificator_multilabel_pt_50n_1epochs results: [] --- # stop_reasons_classificator_multilabel_pt_50n_1epochs This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.6312 - Accuracy Thresh: 0.7843 ## 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: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy Thresh | |:-------------:|:-----:|:----:|:---------------:|:---------------:| | No log | 1.0 | 6 | 0.6312 | 0.7843 | ### Framework versions - Transformers 4.26.0 - Pytorch 1.12.1+cu102 - Datasets 2.9.0 - Tokenizers 0.13.2