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
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