COPA_E_CARE_XLM_roberta_base_finetuned
This model is a fine-tuned version of Ariffiq99/e_care_xlm_roberta_base_finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7353
- F1: 0.67
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 250 | 0.9393 | 0.668 |
| 0.2405 | 2.0 | 500 | 1.1072 | 0.684 |
| 0.2405 | 3.0 | 750 | 1.1488 | 0.648 |
| 0.3938 | 4.0 | 1000 | 0.9665 | 0.652 |
| 0.3938 | 5.0 | 1250 | 1.2431 | 0.654 |
| 0.4987 | 6.0 | 1500 | 1.2893 | 0.674 |
| 0.4987 | 7.0 | 1750 | 1.5097 | 0.68 |
| 0.3532 | 8.0 | 2000 | 1.6731 | 0.664 |
| 0.3532 | 9.0 | 2250 | 1.7344 | 0.664 |
| 0.3011 | 10.0 | 2500 | 1.7353 | 0.67 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1