VLUE_pretrained-finetuned-vsmec
This model is a fine-tuned version of ThuanPhong/VLUE_pretrained on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2474
- Accuracy: 0.6647
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: 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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 347 | 1.0436 | 0.6312 |
| 1.1322 | 2.0 | 694 | 0.9662 | 0.6370 |
| 0.6705 | 3.0 | 1041 | 1.0870 | 0.6385 |
| 0.6705 | 4.0 | 1388 | 1.2474 | 0.6647 |
| 0.3498 | 5.0 | 1735 | 1.4678 | 0.6327 |
| 0.1686 | 6.0 | 2082 | 1.5225 | 0.6399 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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