xlm-roberta-base-english-cola

This model is a fine-tuned version of XLM-RoBERTa-base on English Cola. It achieves the following results on the evaluation set:

• Loss: 0.7617
• Accuracy: 0.6200
• MCC: 0.2431

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 4e-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: 6
• EarlyStopping with patience 2