CRAB_KUCI_xlm_roberta_base_finetuned
This model is a fine-tuned version of Ariffiq99/KUCI_xlm_roberta_base_finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9537
- F1: 0.7458
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 |
|---|---|---|---|---|
| 1.1248 | 1.0 | 2880 | 0.9637 | 0.7125 |
| 0.9213 | 2.0 | 5760 | 1.1808 | 0.7236 |
| 0.8873 | 3.0 | 8640 | 0.9830 | 0.7389 |
| 0.8347 | 4.0 | 11520 | 0.9327 | 0.7361 |
| 0.8315 | 5.0 | 14400 | 0.9631 | 0.7417 |
| 0.764 | 6.0 | 17280 | 0.9923 | 0.7458 |
| 0.8117 | 7.0 | 20160 | 0.9267 | 0.7458 |
| 0.6704 | 8.0 | 23040 | 0.9537 | 0.7458 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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