--- language: - en license: apache-2.0 base_model: bert-base-multilingual-cased tags: - generated_from_trainer datasets: - tmnam20/VieGLUE metrics: - matthews_correlation model-index: - name: bert-base-multilingual-cased-cola-10 results: - task: name: Text Classification type: text-classification dataset: name: tmnam20/VieGLUE/COLA type: tmnam20/VieGLUE config: cola split: validation args: cola metrics: - name: Matthews Correlation type: matthews_correlation value: 0.1009230023823325 --- # bert-base-multilingual-cased-cola-10 This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the tmnam20/VieGLUE/COLA dataset. It achieves the following results on the evaluation set: - Loss: 0.6448 - Matthews Correlation: 0.1009 ## 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: 32 - eval_batch_size: 16 - seed: 10 - 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 | Matthews Correlation | |:-------------:|:-----:|:----:|:---------------:|:--------------------:| | 0.5762 | 1.87 | 500 | 0.6181 | 0.0372 | ### Framework versions - Transformers 4.35.2 - Pytorch 2.2.0.dev20231203+cu121 - Datasets 2.15.0 - Tokenizers 0.15.0