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layoutlmv3-finetuned_invoices – AI Model by hmart824 | AlphaNeural AI
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hmart824
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layoutlmv3-finetuned_invoices
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safetensors
layoutlmv3
generated_from_trainer
microsoft/layoutlmv3-base
finetune
cc-by-nc-sa-4.0
us
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layoutlmv3-finetuned_invoices
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: 0.4540
Precision: 0.9444
Recall: 0.9375
F1: 0.9373
Accuracy: 0.9375
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
4
0.7153
0.7857
0.625
0.5636
0.625
No log
2.0
8
0.4540
0.9444
0.9375
0.9373
0.9375
0.8876
3.0
12
0.3604
0.9444
0.9375
0.9373
0.9375
Framework versions
Transformers 4.44.0
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1
