metadata

license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv2-base-uncased
tags:
  - generated_from_trainer
model-index:
  - name: layoutlm-funsd
    results: []

layoutlm-funsd

This model is a fine-tuned version of microsoft/layoutlmv2-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3805
Ame Precision: 1.0
Ame Recall: 1.0
Ame F1: 1.0
Ame Number: 19
Andom number Precision: 1.0
Andom number Recall: 1.0
Andom number F1: 1.0
Andom number Number: 19
Ather Name Precision: 1.0
Ather Name Recall: 1.0
Ather Name F1: 1.0
Ather Name Number: 19
Lace Of Birth Precision: 1.0
Lace Of Birth Recall: 1.0
Lace Of Birth F1: 1.0
Lace Of Birth Number: 5
Other Name Precision: 1.0
Other Name Recall: 1.0
Other Name F1: 1.0
Other Name Number: 19
Overall Precision: 1.0
Overall Recall: 1.0
Overall F1: 1.0
Overall Accuracy: 1.0

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: 3e-05
train_batch_size: 16
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	Ame Precision	Ame Recall	Ame F1	Ame Number	Andom number Precision	Andom number Recall	Andom number F1	Andom number Number	Ather Name Precision	Ather Name Recall	Ather Name F1	Ather Name Number	Lace Of Birth Precision	Lace Of Birth Recall	Lace Of Birth F1	Lace Of Birth Number	Other Name Precision	Other Name Recall	Other Name F1	Other Name Number	Overall Precision	Overall Recall	Overall F1	Overall Accuracy
1.2231	1.0	41	0.8784	0.3220	1.0	0.4872	19	1.0	1.0	1.0	19	0.0	0.0	0.0	19	0.0	0.0	0.0	5	0.0	0.0	0.0	19	0.4872	0.4691	0.4780	0.9126
0.8256	2.0	82	0.6942	1.0	1.0	1.0	19	1.0	1.0	1.0	19	1.0	1.0	1.0	19	1.0	1.0	1.0	5	1.0	1.0	1.0	19	1.0	1.0	1.0	1.0
0.6803	3.0	123	0.5889	1.0	1.0	1.0	19	1.0	1.0	1.0	19	1.0	1.0	1.0	19	1.0	1.0	1.0	5	1.0	1.0	1.0	19	1.0	1.0	1.0	1.0
0.5863	4.0	164	0.5189	1.0	1.0	1.0	19	1.0	1.0	1.0	19	1.0	1.0	1.0	19	1.0	1.0	1.0	5	1.0	1.0	1.0	19	1.0	1.0	1.0	1.0
0.5261	5.0	205	0.4713	1.0	1.0	1.0	19	1.0	1.0	1.0	19	1.0	1.0	1.0	19	1.0	1.0	1.0	5	1.0	1.0	1.0	19	1.0	1.0	1.0	1.0
0.4835	6.0	246	0.4369	1.0	1.0	1.0	19	1.0	1.0	1.0	19	1.0	1.0	1.0	19	1.0	1.0	1.0	5	1.0	1.0	1.0	19	1.0	1.0	1.0	1.0
0.4519	7.0	287	0.4111	1.0	1.0	1.0	19	1.0	1.0	1.0	19	1.0	1.0	1.0	19	1.0	1.0	1.0	5	1.0	1.0	1.0	19	1.0	1.0	1.0	1.0
0.4287	8.0	328	0.3938	1.0	1.0	1.0	19	1.0	1.0	1.0	19	1.0	1.0	1.0	19	1.0	1.0	1.0	5	1.0	1.0	1.0	19	1.0	1.0	1.0	1.0
0.4142	9.0	369	0.3837	1.0	1.0	1.0	19	1.0	1.0	1.0	19	1.0	1.0	1.0	19	1.0	1.0	1.0	5	1.0	1.0	1.0	19	1.0	1.0	1.0	1.0
0.4079	10.0	410	0.3805	1.0	1.0	1.0	19	1.0	1.0	1.0	19	1.0	1.0	1.0	19	1.0	1.0	1.0	5	1.0	1.0	1.0	19	1.0	1.0	1.0	1.0

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1