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bert-base-uncased-finetuned-cola_HW2_sepehr_bakhshi_dropout_05_16
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: 0.7283
- Matthews Correlation: 0.5905
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: 1.0356344528514278e-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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.5012 | 1.0 | 535 | 0.4807 | 0.4912 |
| 0.3376 | 2.0 | 1070 | 0.4363 | 0.5882 |
| 0.2395 | 3.0 | 1605 | 0.6192 | 0.5351 |
| 0.1814 | 4.0 | 2140 | 0.6754 | 0.5931 |
| 0.1554 | 5.0 | 2675 | 0.7283 | 0.5905 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
