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docintel-classifier – AI Model by jayantigoyal | AlphaNeural AI
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jayantigoyal
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docintel-classifier
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transformers
safetensors
layoutlmv3
text-classification
generated_from_trainer
microsoft/layoutlmv3-base
finetune
cc-by-nc-sa-4.0
endpoints_compatible
us
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docintel-classifier
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: 1.6040
Accuracy: 0.785
F1: 0.7830
Acc Letter: 0.6
Acc Form: 0.6
Acc Email: 0.96
Acc Handwr: 0.96
Acc Advert: 0.84
Acc Scient: 0.76
Acc Specif: 0.92
Acc File f: 1.0
Acc News a: 0.72
Acc Budget: 0.6
Acc Invoic: 0.84
Acc Presen: 0.72
Acc Questi: 0.68
Acc Resume: 0.96
Acc Memo: 0.8
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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.1
num_epochs: 8
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2
