You can deploy this model and start earning money today!

tiennvcs/
layoutlmv2-large-uncased-finetuned-vi-infovqa

Name: layoutlmv2-large-uncased-finetuned-vi-infovqa
Availability: InStock

document-question-answering

generated_from_trainer

cc-by-nc-sa-4.0

endpoints_compatible

Views

No views yet

layoutlmv2-large-uncased-finetuned-vi-infovqa

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

Loss: 8.5806

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: 2
eval_batch_size: 2
seed: 250500
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
No log	0.17	100	4.6181
No log	0.33	200	4.3357
No log	0.5	300	4.3897
No log	0.66	400	4.8238
4.4277	0.83	500	3.9088
4.4277	0.99	600	3.6063
4.4277	1.16	700	3.4278
4.4277	1.32	800	3.5428
4.4277	1.49	900	3.4331
3.0413	1.65	1000	3.3699
3.0413	1.82	1100	3.3622
3.0413	1.98	1200	3.5294
3.0413	2.15	1300	3.7918
3.0413	2.31	1400	3.4007
2.0843	2.48	1500	4.0296
2.0843	2.64	1600	4.1852
2.0843	2.81	1700	3.6690
2.0843	2.97	1800	3.6089
2.0843	3.14	1900	5.5534
1.7527	3.3	2000	4.7498
1.7527	3.47	2100	5.2691
1.7527	3.63	2200	5.1324
1.7527	3.8	2300	4.5912
1.7527	3.96	2400	4.1727
1.2037	4.13	2500	6.1174
1.2037	4.29	2600	5.7172
1.2037	4.46	2700	5.8843
1.2037	4.62	2800	6.4232
1.2037	4.79	2900	7.4486
0.8386	4.95	3000	7.1946
0.8386	5.12	3100	7.9869
0.8386	5.28	3200	8.0310
0.8386	5.45	3300	8.2954
0.8386	5.61	3400	8.5361
0.4389	5.78	3500	8.6040
0.4389	5.94	3600	8.5806

Framework versions

Transformers 4.15.0
Pytorch 1.8.0+cu101
Datasets 1.17.0
Tokenizers 0.10.3

tiennvcs/layoutlmv2-large-uncased-finetuned-vi-infovqa

layoutlmv2-large-uncased-finetuned-vi-infovqa

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

tiennvcs/
layoutlmv2-large-uncased-finetuned-vi-infovqa