e_care_CRAB_COPA_albert_base_finetuned
This model is a fine-tuned version of Ariffiq99/CRAB_COPA_albert_base_finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7816
- F1: 0.6645
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: 5e-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 |
|---|---|---|---|---|
| 0.6632 | 1.0 | 933 | 0.6928 | 0.5457 |
| 0.6983 | 2.0 | 1866 | 0.6931 | 0.5320 |
| 0.6964 | 3.0 | 2799 | 0.6931 | 0.5226 |
| 0.6962 | 4.0 | 3732 | 0.6402 | 0.6155 |
| 0.579 | 5.0 | 4665 | 0.5831 | 0.6758 |
| 0.4331 | 6.0 | 5598 | 0.6612 | 0.6706 |
| 0.3198 | 7.0 | 6531 | 0.7816 | 0.6645 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1