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am-infoweb/
layoutlmv2-finetuned_docvqa

Name: layoutlmv2-finetuned_docvqa
Availability: InStock

document-question-answering

generated_from_trainer

microsoft/layoutlmv2-base-uncased

finetune

cc-by-nc-sa-4.0

endpoints_compatible

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layoutlmv2-base-finetuned_docvqa

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: 2.9372

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: 8
seed: 42
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
5.2741	0.22	50	4.5078
4.3688	0.44	100	4.2690
4.1035	0.66	150	3.7153
3.8461	0.88	200	3.6182
3.6142	1.11	250	3.4844
3.0794	1.33	300	3.2514
3.0315	1.55	350	3.3487
2.8165	1.77	400	2.7495
2.6306	1.99	450	2.8793
2.2232	2.21	500	2.5794
2.0693	2.43	550	2.7011
2.0821	2.65	600	2.4160
1.9505	2.88	650	2.2413
1.7037	3.1	700	2.3263
1.6657	3.32	750	3.0268
1.5721	3.54	800	2.8429
1.3987	3.76	850	2.3589
1.3469	3.98	900	2.6879
1.0572	4.2	950	3.0299
1.046	4.42	1000	2.7357
0.9208	4.65	1050	2.9640
0.9383	4.87	1100	2.9712
0.8651	5.09	1150	3.0117
0.7581	5.31	1200	3.1530
0.779	5.53	1250	3.0349
0.8105	5.75	1300	2.8753
0.705	5.97	1350	2.9372

Framework versions

Transformers 4.32.1
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

am-infoweb/layoutlmv2-finetuned_docvqa

layoutlmv2-base-finetuned_docvqa

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

am-infoweb/
layoutlmv2-finetuned_docvqa