--- base_model: citizenlab/twitter-xlm-roberta-base-sentiment-finetunned tags: - generated_from_trainer metrics: - accuracy model-index: - name: Malay-Sentiment2 results: [] --- # Malay-Sentiment2 This model is a fine-tuned version of [citizenlab/twitter-xlm-roberta-base-sentiment-finetunned](https://huggingface.co/citizenlab/twitter-xlm-roberta-base-sentiment-finetunned) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.5757 - Accuracy: 0.7578 ## 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: 16 - eval_batch_size: 16 - 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 | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.7066 | 1.0 | 723 | 0.5757 | 0.7578 | ### Framework versions - Transformers 4.35.2 - Pytorch 2.1.1+cpu - Datasets 2.14.5 - Tokenizers 0.15.0