KUCI_e_care_Bert_Based_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: 1.1213
- F1: 0.5413
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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.1918 | 1.0 | 5196 | 1.1805 | 0.4805 |
| 1.123 | 2.0 | 10392 | 1.1198 | 0.5135 |
| 1.0667 | 3.0 | 15588 | 1.1035 | 0.5263 |
| 1.0186 | 4.0 | 20784 | 1.0820 | 0.5328 |
| 0.9704 | 5.0 | 25980 | 1.1082 | 0.5380 |
| 0.9257 | 6.0 | 31176 | 1.1212 | 0.5447 |
| 0.9098 | 7.0 | 36372 | 1.1213 | 0.5413 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1