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invoice-ner-layoutlmv3-11k – AI Model by albertosei | AlphaNeural AI
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albertosei
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invoice-ner-layoutlmv3-11k
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transformers
safetensors
layoutlmv3
token-classification
generated_from_trainer
microsoft/layoutlmv3-base
finetune
cc-by-nc-sa-4.0
endpoints_compatible
us
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invoice-ner-layoutlmv3-11k
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: 0.1331
F1: 0.9211
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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
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
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1
No log
1.0
309
0.2577
0.8487
0.5461
2.0
618
0.1884
0.8885
0.5461
3.0
927
0.1577
0.9032
0.1804
4.0
1236
0.1454
0.9097
0.1376
5.0
1545
0.1331
0.9211
Framework versions
Transformers 4.53.3
Pytorch 2.6.0+cu124
Datasets 4.1.1
Tokenizers 0.21.2
