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layoutlmv3-finetuned_1.3_modified – AI Model by hmart824 | AlphaNeural AI
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hmart824
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layoutlmv3-finetuned_1.3_modified
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transformers
safetensors
layoutlmv3
token-classification
generated_from_trainer
hmart824/layoutlmv3-finetuned_1.1
finetune
cc-by-nc-sa-4.0
autotrain_compatible
endpoints_compatible
us
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layoutlmv3-finetuned_1.3_modified
This model is a fine-tuned version of
hmart824/layoutlmv3-finetuned_1.1
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7665
Precision: 0.4465
Recall: 0.4965
F1: 0.4683
Accuracy: 0.8851
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
0.7868
1.0
24
0.8603
0.4444
0.4878
0.4608
0.8678
0.1898
2.0
48
0.9585
0.4367
0.4727
0.4468
0.8391
0.3115
3.0
72
0.7665
0.4465
0.4965
0.4683
0.8851
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
