COPA_KUCI_e_care_xlm_roberta_base_finetuned
This model is a fine-tuned version of Ariffiq99/KUCI_e_care_xlm_roberta_base_Finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1899
- F1: 0.696
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: 4
- eval_batch_size: 4
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 250 | 0.6475 | 0.614 |
| 0.6765 | 2.0 | 500 | 0.6445 | 0.632 |
| 0.6765 | 3.0 | 750 | 0.6524 | 0.652 |
| 0.515 | 4.0 | 1000 | 0.9434 | 0.674 |
| 0.515 | 5.0 | 1250 | 0.9342 | 0.68 |
| 0.4231 | 6.0 | 1500 | 1.1175 | 0.69 |
| 0.4231 | 7.0 | 1750 | 1.1899 | 0.696 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1