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layoutxlm-tc-finetuned – AI Model by Guigadal | AlphaNeural AI
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Guigadal
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layoutxlm-tc-finetuned
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transformers
pytorch
layoutlmv2
token-classification
generated_from_trainer
cc-by-nc-sa-4.0
autotrain_compatible
endpoints_compatible
us
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layoutxlm-tc-finetuned
This model is a fine-tuned version of
microsoft/layoutxlm-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2621
Answer Precision: 0.8634
Answer Recall: 0.9369
Answer F1: 0.8986
Answer Number: 317
Header Precision: 0.7391
Header Recall: 0.7846
Header F1: 0.7612
Header Number: 65
Question Precision: 0.8589
Question Recall: 0.9045
Question F1: 0.8811
Question Number: 377
Overall Precision: 0.8506
Overall Recall: 0.9078
Overall F1: 0.8783
Overall Accuracy: 0.9687
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
lr_scheduler_warmup_ratio: 0.1
training_steps: 5500
Training results
Framework versions
Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
