layoutlmv3-ap7_12_stitched_8_batch_4e5 – AI Model by ikiransuryavanshi | AlphaNeural AI

You can deploy this model and start earning money today!

ikiransuryavanshi/
layoutlmv3-ap7_12_stitched_8_batch_4e5

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-ap7_12_stitched_8_batch_4e5

This model is a fine-tuned version of microsoft/layoutlmv3-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0135
Precision: 0.6389
Recall: 0.92
F1: 0.7541
Accuracy: 0.9970

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: 4e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.3032	25.0	250	0.0178	0.6818	0.6	0.6383	0.9965
0.0076	50.0	500	0.0185	0.5938	0.76	0.6667	0.9960
0.0021	75.0	750	0.0130	0.6216	0.92	0.7419	0.9967
0.0012	100.0	1000	0.0135	0.6389	0.92	0.7541	0.9970

Framework versions

Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1