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xlm-roberta-base-english-cola
shuisman/xlm-roberta-base-english-cola
xlm-roberta-base-english-cola is a text classification model from shuisman. Use it when you need a label for a piece of text. It is set up for transformers.
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
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- xlm-roberta
- Access
- Public
- Created
- Jun 14, 2024
- Updated
- Jun 15, 2024
- SHA
- ea928dfe
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Model card
From the Hugging Face model README
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
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- Created
- Jun 14, 2024
- Updated
- Jun 15, 2024