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renjithks/
layoutlmv2-cord-ner

Name: layoutlmv2-cord-ner
Availability: InStock

generated_from_trainer

cc-by-nc-sa-4.0

autotrain_compatible

endpoints_compatible

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layoutlmv2-cord-ner

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: 0.0952
Precision: 0.9639
Recall: 0.9741
F1: 0.9690
Accuracy: 0.9911

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	113	0.5962	0.8714	0.8973	0.8842	0.9405
No log	2.0	226	0.4064	0.8713	0.9098	0.8901	0.9511
No log	3.0	339	0.2687	0.9314	0.9386	0.9350	0.9754
No log	4.0	452	0.2007	0.9355	0.9472	0.9413	0.9792
0.4677	5.0	565	0.1625	0.9497	0.9597	0.9547	0.9834
0.4677	6.0	678	0.1326	0.9526	0.9645	0.9585	0.9868
0.4677	7.0	791	0.1212	0.9508	0.9645	0.9576	0.9851
0.4677	8.0	904	0.1019	0.9675	0.9712	0.9693	0.9911
0.1131	9.0	1017	0.1029	0.9545	0.9664	0.9604	0.9881
0.1131	10.0	1130	0.0952	0.9639	0.9741	0.9690	0.9911

Framework versions

Transformers 4.16.2
Pytorch 1.9.0+cu111
Datasets 1.18.4
Tokenizers 0.11.6

renjithks/layoutlmv2-cord-ner

layoutlmv2-cord-ner

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

renjithks/
layoutlmv2-cord-ner