KUCI_e_care_xlm_roberta_large_Finetuned
This model is a fine-tuned version of Ariffiq99/e_care_xlm_roberta_large_finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9587
- F1: 0.8504
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 |
|---|---|---|---|---|
| 0.4669 | 1.0 | 5196 | 0.4334 | 0.8410 |
| 0.3292 | 2.0 | 10392 | 0.5306 | 0.8425 |
| 0.2147 | 3.0 | 15588 | 0.6117 | 0.8486 |
| 0.1337 | 4.0 | 20784 | 0.8328 | 0.8478 |
| 0.057 | 5.0 | 25980 | 0.9587 | 0.8504 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1