Evidence_Retrieval_model_vi_mrc

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: 0.4764

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.5132	1.0	524	0.3571
0.2579	2.0	1048	0.3149
0.1958	3.0	1572	0.3707
0.1473	4.0	2096	0.4362
0.1066	5.0	2620	0.4764

Framework versions

• Transformers 4.39.3
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.2