layoutlmv3-finetuned-cord_100 – AI Model by bhargavshivashankar | AlphaNeural AI

You can deploy this model and start earning money today!

bhargavshivashankar/
layoutlmv3-finetuned-cord_100

like

0

token-classification

generated_from_trainer

microsoft/layoutlmv3-base

cc-by-nc-sa-4.0

autotrain_compatible

endpoints_compatible

Views

No views yet

layoutlmv3-finetuned-cord_100

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

Loss: 1.8423
Precision: 0.8933
Recall: 0.9091
F1: 0.9011
Accuracy: 0.7616

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: 1e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	16.6667	250	1.1352	0.8427	0.8760	0.8590	0.7717
0.2698	33.3333	500	1.5871	0.8825	0.9044	0.8933	0.7534
0.2698	50.0	750	1.8174	0.8891	0.9038	0.8964	0.7551
0.0057	66.6667	1000	1.8423	0.8933	0.9091	0.9011	0.7616

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0