metadata
license: mit
base_model: Ariffiq99/COPA_KUCI_xlm_roberta_large_finetuned
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: CRAB_COPA_KUCI_xlm_roberta_large_finetuned
results: []
CRAB_COPA_KUCI_xlm_roberta_large_finetuned
This model is a fine-tuned version of Ariffiq99/COPA_KUCI_xlm_roberta_large_finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2852
- F1: 0.7250
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 |
|---|---|---|---|---|
| 1.1412 | 1.0 | 2880 | 1.4904 | 0.675 |
| 1.0659 | 2.0 | 5760 | 1.7656 | 0.6986 |
| 0.9118 | 3.0 | 8640 | 1.4802 | 0.7083 |
| 0.8833 | 4.0 | 11520 | 0.9360 | 0.7208 |
| 0.9054 | 5.0 | 14400 | 1.3935 | 0.7111 |
| 0.8062 | 6.0 | 17280 | 1.1927 | 0.7194 |
| 0.8188 | 7.0 | 20160 | 1.1275 | 0.7278 |
| 0.7608 | 8.0 | 23040 | 1.2852 | 0.7250 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1