layoutlmv3-large-cord – AI Model by cuongdz01 | AlphaNeural AI

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cuongdz01/
layoutlmv3-large-cord

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token-classification

generated_from_trainer

microsoft/layoutlmv3-large

cc-by-nc-sa-4.0

autotrain_compatible

endpoints_compatible

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layoutlmv3-large-cord

This model is a fine-tuned version of microsoft/layoutlmv3-large on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1616
Precision: 0.9526
Recall: 0.9482
F1: 0.9504
Accuracy: 0.9677

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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	0.25	100	0.5321	0.7584	0.7859	0.7719	0.8224
No log	0.5	200	0.4949	0.8091	0.8354	0.8221	0.8683
No log	0.75	300	0.3478	0.8668	0.8648	0.8658	0.8916
No log	1.0	400	0.5194	0.75	0.7117	0.7304	0.8513
0.6065	1.25	500	0.3052	0.9059	0.9003	0.9031	0.9341
0.6065	1.5	600	0.2427	0.9245	0.9173	0.9209	0.9443
0.6065	1.75	700	0.2372	0.9174	0.9181	0.9177	0.9477
0.6065	2.0	800	0.2044	0.9247	0.9212	0.9230	0.9494
0.6065	2.25	900	0.1847	0.9442	0.9413	0.9427	0.9613
0.1862	2.5	1000	0.1616	0.9526	0.9482	0.9504	0.9677

Framework versions

Transformers 4.36.0
Pytorch 2.0.0
Datasets 2.16.1
Tokenizers 0.15.0