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layoutlmv3-finetuned-invoice – AI Model by abhaysanu | AlphaNeural AI
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abhaysanu
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layoutlmv3-finetuned-invoice
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transformers
tensorboard
safetensors
layoutlmv3
token-classification
generated_from_trainer
generated
microsoft/layoutlmv3-base
finetune
cc-by-nc-sa-4.0
model-index
autotrain_compatible
endpoints_compatible
us
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layoutlmv3-finetuned-invoice
This model is a fine-tuned version of
microsoft/layoutlmv3-base
on the generated dataset. It achieves the following results on the evaluation set:
Loss: 1.9513
Precision: 0.125
Recall: 0.0122
F1: 0.0222
Accuracy: 0.8763
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: 1e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
0.1
5
1.9513
0.125
0.0122
0.0222
0.8763
Framework versions
Transformers 4.41.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.15.0
Tokenizers 0.19.1
