KUCI_e_care_Albert_Base_Finetuned
This model is a fine-tuned version of Ariffiq99/e_care_albert_base_finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3212
- F1: 0.3683
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 |
|---|---|---|---|---|
| 1.3365 | 1.0 | 5196 | 1.3307 | 0.3527 |
| 1.3318 | 2.0 | 10392 | 1.3201 | 0.3720 |
| 1.3268 | 3.0 | 15588 | 1.3195 | 0.3625 |
| 1.326 | 4.0 | 20784 | 1.3182 | 0.3594 |
| 1.3204 | 5.0 | 25980 | 1.3159 | 0.3668 |
| 1.3152 | 6.0 | 31176 | 1.3181 | 0.3638 |
| 1.3114 | 7.0 | 36372 | 1.3212 | 0.3683 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1