bert-base-uncased-cola
This model is a fine-tuned version of bert-base-uncased on an glue/cola dataset. It achieves the following results on the evaluation set:
- Loss: 0.9615
- Matthews Correlation: 0.5432
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.3198 | 1.0 | 1069 | 0.7990 | 0.4678 |
| 0.2735 | 2.0 | 2138 | 0.8559 | 0.5358 |
| 0.1383 | 3.0 | 3207 | 0.9615 | 0.5432 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Tokenizers 0.21.0
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Model tree for tamdd18/bert-base-uncased-cola
Base model
google-bert/bert-base-uncased