CRAB_KUCI_albert_base_Finetuned
This model is a fine-tuned version of Ariffiq99/KUCI_albert_base_Finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9052
- F1: 0.7694
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 |
|---|---|---|---|---|
| 1.3143 | 1.0 | 2880 | 1.1031 | 0.7069 |
| 1.1084 | 2.0 | 5760 | 1.0972 | 0.7250 |
| 0.8323 | 3.0 | 8640 | 0.8907 | 0.7347 |
| 0.8968 | 4.0 | 11520 | 0.9758 | 0.7542 |
| 0.8236 | 5.0 | 14400 | 0.8947 | 0.7722 |
| 0.7557 | 6.0 | 17280 | 0.8777 | 0.7653 |
| 0.8497 | 7.0 | 20160 | 0.9217 | 0.7694 |
| 0.7007 | 8.0 | 23040 | 0.9052 | 0.7694 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1