layoutlmv3-ap7_9_stitched_16_batch_5e6 – AI Model by ikiransuryavanshi | AlphaNeural AI

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ikiransuryavanshi/
layoutlmv3-ap7_9_stitched_16_batch_5e6

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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_9_stitched_16_batch_5e6

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: 0.0463
Precision: 0.5625
Recall: 0.3103
F1: 0.4
Accuracy: 0.9926

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-06
train_batch_size: 16
eval_batch_size: 16
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
0.7031	50.0	250	0.0840	0.0	0.0	0.0	0.9890
0.0606	100.0	500	0.0509	0.3125	0.1724	0.2222	0.9910
0.0318	150.0	750	0.0472	0.4444	0.2759	0.3404	0.9922
0.0238	200.0	1000	0.0463	0.5625	0.3103	0.4	0.9926

Framework versions

Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1