Best-clean-ViMrcbase-TFIDF-largeversion-1

This model is a fine-tuned version of nguyenvulebinh/vi-mrc-large on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.7574

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss
1.0999	1.0	614	0.7506
0.5279	2.0	1228	0.7574

Framework versions

• Transformers 4.33.0
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3