e_care_CRAB_COPA_KUCI_bert_base_uncased_finetuned
This model is a fine-tuned version of Ariffiq99/CRAB_COPA_KUCI_Bert_Base_Uncased_finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8644
- F1: 0.7531
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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.5812 | 1.0 | 933 | 0.4923 | 0.7342 |
| 0.4015 | 2.0 | 1866 | 0.5055 | 0.7512 |
| 0.2845 | 3.0 | 2799 | 0.6494 | 0.7493 |
| 0.1812 | 4.0 | 3732 | 0.7457 | 0.7620 |
| 0.1344 | 5.0 | 4665 | 0.8267 | 0.7568 |
| 0.1094 | 6.0 | 5598 | 0.8644 | 0.7531 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1