CRAB_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: 0.9279
- F1: 0.7569
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 |
|---|---|---|---|---|
| 1.1009 | 1.0 | 2880 | 0.8508 | 0.7083 |
| 0.9064 | 2.0 | 5760 | 0.9319 | 0.7306 |
| 0.9809 | 3.0 | 8640 | 0.9758 | 0.7319 |
| 0.8421 | 4.0 | 11520 | 0.9500 | 0.7431 |
| 0.7558 | 5.0 | 14400 | 0.9718 | 0.7514 |
| 0.7902 | 6.0 | 17280 | 0.9229 | 0.7472 |
| 0.6953 | 7.0 | 20160 | 0.9515 | 0.7542 |
| 0.6559 | 8.0 | 23040 | 0.9279 | 0.7569 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1