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layoutlmv3-finetuned_invoices-2 – AI Model by hmart824 | AlphaNeural AI
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layoutlmv3-finetuned_invoices-2
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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-2
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: 1.0011
Precision: 0.1863
Recall: 0.2
F1: 0.1929
Accuracy: 0.9314
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
1.0011
0.1863
0.2
0.1929
0.9314
No log
2.0
8
0.9025
0.1863
0.2
0.1929
0.9314
0.7637
3.0
12
0.8671
0.1863
0.2
0.1929
0.9314
Framework versions
Transformers 4.44.0
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1
