COPA_KUCI_Bert_Base_Uncased_Finetuned
This model is a fine-tuned version of Ariffiq99/KUCI_Bert_Base_Finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7391
- F1: 0.7291
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: 1e-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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 63 | 0.6190 | 0.7012 |
| No log | 2.0 | 126 | 0.6331 | 0.7090 |
| No log | 3.0 | 189 | 0.6979 | 0.7280 |
| No log | 4.0 | 252 | 0.6767 | 0.7228 |
| No log | 5.0 | 315 | 0.7029 | 0.7258 |
| No log | 6.0 | 378 | 0.7162 | 0.7288 |
| No log | 7.0 | 441 | 0.7150 | 0.7351 |
| 0.1874 | 8.0 | 504 | 0.7240 | 0.7213 |
| 0.1874 | 9.0 | 567 | 0.7336 | 0.7265 |
| 0.1874 | 10.0 | 630 | 0.7391 | 0.7291 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1