--- library_name: transformers base_model: cardiffnlp/twitter-roberta-base-sentiment-latest tags: - generated_from_trainer model-index: - name: result3 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # result3 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: 0.7166 ## 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: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 0.7898 | 1.0 | 144 | 0.7518 | | 0.6739 | 2.0 | 288 | 0.6244 | | 0.5425 | 3.0 | 432 | 0.6693 | | 0.3724 | 4.0 | 576 | 0.6817 | | 0.3575 | 5.0 | 720 | 0.7166 | ### Framework versions - Transformers 4.45.2 - Pytorch 2.2.2+cu118 - Datasets 3.0.1 - Tokenizers 0.20.0