metadata
license: mit
base_model: Ariffiq99/CRAB_xlm_roberta_large_finetuned
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: KUCI_CRAB_xlm_roberta_large_finetuned
results: []
KUCI_CRAB_xlm_roberta_large_finetuned
This model is a fine-tuned version of Ariffiq99/CRAB_xlm_roberta_large_finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8347
- F1: 0.8472
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.4762 | 1.0 | 5196 | 0.4732 | 0.8249 |
| 0.3423 | 2.0 | 10392 | 0.5103 | 0.8382 |
| 0.2225 | 3.0 | 15588 | 0.6075 | 0.8449 |
| 0.1239 | 4.0 | 20784 | 0.8347 | 0.8472 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1