--- base_model: cardiffnlp/twitter-roberta-base-sentiment-latest tags: - generated_from_trainer metrics: - accuracy model-index: - name: output results: [] --- # output This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.5333 - Accuracy: 0.786 ## 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 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.7137 | 0.5 | 500 | 0.6020 | 0.7675 | | 0.6209 | 1.0 | 1000 | 0.5333 | 0.786 | | 0.4622 | 1.5 | 1500 | 0.6210 | 0.792 | | 0.4764 | 2.0 | 2000 | 0.7468 | 0.783 | | 0.3036 | 2.5 | 2500 | 0.8896 | 0.795 | | 0.2941 | 3.0 | 3000 | 0.8803 | 0.8035 | ### Framework versions - Transformers 4.35.0 - Pytorch 2.1.0+cu118 - Datasets 2.14.6 - Tokenizers 0.14.1