metadata
license: mit
base_model: Ariffiq99/CRAB_xlm_roberta_base_finetuned
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: KUCI_CRAB_xlm_roberta_base_finetuned
results: []
KUCI_CRAB_xlm_roberta_base_finetuned
This model is a fine-tuned version of Ariffiq99/CRAB_xlm_roberta_base_finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7611
- F1: 0.7689
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 |
|---|---|---|---|---|
| 0.7122 | 1.0 | 5196 | 0.6569 | 0.7361 |
| 0.572 | 2.0 | 10392 | 0.6736 | 0.7582 |
| 0.4757 | 3.0 | 15588 | 0.6246 | 0.7645 |
| 0.3763 | 4.0 | 20784 | 0.6903 | 0.7666 |
| 0.3013 | 5.0 | 25980 | 0.7611 | 0.7689 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1