--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: bert_uncased_fine_tuned_emotion_dataset results: [] --- # bert_uncased_fine_tuned_emotion_dataset 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: 0.1870 - Accuracy: 0.943 ## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.2321 | 1.0 | 2000 | 0.2690 | 0.924 | | 0.1483 | 2.0 | 4000 | 0.1683 | 0.9415 | | 0.0954 | 3.0 | 6000 | 0.1870 | 0.943 | ### Framework versions - Transformers 4.20.1 - Pytorch 1.11.0 - Datasets 2.1.0 - Tokenizers 0.12.1