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mbert-english-cola
shuisman/mbert-english-cola
mbert-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 multilingual BERT on English Cola. It achieves the following results on the evaluation set: - Loss: 1.0166 - Accuracy: 0.5821 - MCC: 0.1644
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jun 14, 2024
- Updated
- Jun 14, 2024
- SHA
- 1aaa9de9
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Model card
From the Hugging Face model README
mbert-english-cola
This model is a fine-tuned version of multilingual BERT on English Cola. It achieves the following results on the evaluation set:
- Loss: 1.0166
- Accuracy: 0.5821
- MCC: 0.1644
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
- bert
- Created
- Jun 14, 2024
- Updated
- Jun 14, 2024