layoutlmv2-base-uncased-finetuned-vi-infovqa

This model is a fine-tuned version of microsoft/layoutlmv2-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 4.3332

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: 5e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 250500
• 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
No log	0.33	100	5.3461
No log	0.66	200	4.9734
No log	0.99	300	4.6074
No log	1.32	400	4.4548
4.6355	1.65	500	4.3831
4.6355	1.98	600	4.3332

Framework versions

• Transformers 4.15.0
• Pytorch 1.8.0+cu101
• Datasets 1.17.0
• Tokenizers 0.10.3