KUCI_COPA_albert_base_finetuned
This model is a fine-tuned version of Ariffiq99/COPA_albert_base_finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3182
- F1: 0.3716
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.3403 | 1.0 | 5196 | 1.3278 | 0.3551 |
| 1.3295 | 2.0 | 10392 | 1.3223 | 0.3707 |
| 1.325 | 3.0 | 15588 | 1.3200 | 0.3668 |
| 1.3219 | 4.0 | 20784 | 1.3199 | 0.3654 |
| 1.3166 | 5.0 | 25980 | 1.3182 | 0.3716 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1