Bestclean-ViMrcbase-TFIDFPNS-ver1
This model is a fine-tuned version of nguyenvulebinh/vi-mrc-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9084
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: 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.683 | 1.0 | 603 | 0.8344 |
| 0.3768 | 2.0 | 1206 | 0.9084 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3