bert-base-uncased-finetuned-cola
This model is a fine-tuned version of bert-base-uncased on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.4742
- Matthews Correlation: 0.5215
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: 2.468554830415339e-05
- train_batch_size: 8
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.4392 | 1.0 | 1069 | 0.4742 | 0.5215 |
Framework versions
- Transformers 4.12.2
- Pytorch 2.0.0+cu117
- Datasets 2.12.0
- Tokenizers 0.10.3
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Model tree for p0uy4/bert-base-uncased-finetuned-cola
Base model
google-bert/bert-base-uncased