metadata
license: mit
base_model: Ariffiq99/KUCI_xlm_roberta_base_Finetuned
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: e_care_KUCI_xlm_roberta_base_finetuned
results: []
e_care_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: 0.8614
- F1: 0.7342
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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.6129 | 1.0 | 933 | 0.5311 | 0.7078 |
| 0.4992 | 2.0 | 1866 | 0.5276 | 0.7172 |
| 0.4152 | 3.0 | 2799 | 0.5736 | 0.7168 |
| 0.3398 | 4.0 | 3732 | 0.6502 | 0.7333 |
| 0.2799 | 5.0 | 4665 | 0.6750 | 0.7422 |
| 0.2436 | 6.0 | 5598 | 0.8006 | 0.7337 |
| 0.207 | 7.0 | 6531 | 0.8614 | 0.7342 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1