layoutlmv3-ap7_5_stitched_8_batch – AI Model by ikiransuryavanshi | AlphaNeural AI

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ikiransuryavanshi/
layoutlmv3-ap7_5_stitched_8_batch

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token-classification

generated_from_trainer

microsoft/layoutlmv3-base

cc-by-nc-sa-4.0

autotrain_compatible

endpoints_compatible

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layoutlmv3-ap7_5_stitched_8_batch

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: 0.0223
Precision: 0.5714
Recall: 0.625
F1: 0.5970
Accuracy: 0.9962

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: 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
0.5165	27.7778	250	0.0680	0.25	0.0625	0.1	0.9867
0.0296	55.5556	500	0.0321	0.425	0.5312	0.4722	0.9926
0.0143	83.3333	750	0.0247	0.5	0.5938	0.5429	0.9952
0.0099	111.1111	1000	0.0223	0.5714	0.625	0.5970	0.9962

Framework versions

Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1