CRAB_e_care_bert_base_uncased_finetuned
This model is a fine-tuned version of Ariffiq99/e_care_bert_base_uncased_finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8041
- F1: 0.7458
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.0283 | 1.0 | 2880 | 0.9163 | 0.7083 |
| 0.8034 | 2.0 | 5760 | 0.9211 | 0.7208 |
| 0.7275 | 3.0 | 8640 | 0.8439 | 0.7403 |
| 0.8788 | 4.0 | 11520 | 0.7014 | 0.7583 |
| 0.8123 | 5.0 | 14400 | 0.8631 | 0.7417 |
| 0.6947 | 6.0 | 17280 | 0.7840 | 0.7542 |
| 0.588 | 7.0 | 20160 | 0.7899 | 0.7486 |
| 0.7133 | 8.0 | 23040 | 0.8041 | 0.7458 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1