COPA_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: 0.6927
- F1: 0.514
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: 4
- eval_batch_size: 4
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 250 | 0.6933 | 0.496 |
| 0.7347 | 2.0 | 500 | 0.6939 | 0.52 |
| 0.7347 | 3.0 | 750 | 0.6931 | 0.486 |
| 0.7095 | 4.0 | 1000 | 0.6934 | 0.496 |
| 0.7095 | 5.0 | 1250 | 0.6926 | 0.506 |
| 0.7083 | 6.0 | 1500 | 0.6930 | 0.522 |
| 0.7083 | 7.0 | 1750 | 0.6927 | 0.514 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1