MRC_ER_vit5-large_syl_ViWikiFC
This model is a fine-tuned version of tringuyen-uit/MRC_ER_vit5-large_syl_ViWikiFC on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.5576
- Exact Match: 0.8024
- F1: 0.8241
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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Exact Match | F1 |
|---|---|---|---|---|---|
| 0.3388 | 1.0 | 8369 | 2.1133 | 0.7995 | 0.8224 |
| 0.3827 | 2.0 | 16738 | 2.3313 | 0.8029 | 0.8255 |
| 0.0881 | 3.0 | 25107 | 3.5576 | 0.8024 | 0.8241 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.2.1
- Datasets 2.19.2
- Tokenizers 0.19.1
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