--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: movie-genre-prediction_bert-base-uncased results: [] --- # movie-genre-prediction_bert-base-uncased This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co./bert-base-uncased) on the None dataset. It achieves the following results on the evaluation set: - Loss: 1.6356 - Accuracy: 0.4201 ## 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: 200 - eval_batch_size: 200 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | No log | 1.0 | 189 | 1.6633 | 0.4130 | | No log | 2.0 | 378 | 1.6356 | 0.4201 | ### Framework versions - Transformers 4.24.0 - Pytorch 2.0.1+cu118 - Datasets 2.13.1 - Tokenizers 0.13.3