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utku-model-part1_latest
This model is a fine-tuned version of bert-base-uncased on the glue dataset. It achieves the following results on the evaluation set:
Validation Loss: 0.988973 Matthews Correlation: 0.568543
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: 8.80887270242613e-06
- train_batch_size: 4
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Epoch | Training Loss | Validation Loss | Mcc |
|---|---|---|---|
| 1 | 0.272100 | 0.702248 | 0.516378 |
| 2 | 0.451200 | 0.745428 | 0.580507 |
| 3 | 0.244100 | 0.859209 | 0.580807 |
| 4 | 0.160700 | 0.988973 | 0.568543 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
