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detr-resnet50_finetuned_icdar2019_finetuned_lstabledetv1 – AI Model by nsugianto | AlphaNeural AI
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nsugianto
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detr-resnet50_finetuned_icdar2019_finetuned_lstabledetv1
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transformers
tensorboard
safetensors
detr
object-detection
generated_from_trainer
TahaDouaji/detr-doc-table-detection
finetune
endpoints_compatible
us
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detr-resnet50_finetuned_icdar2019_finetuned_lstabledetv1
This model is a fine-tuned version of
TahaDouaji/detr-doc-table-detection
on an unknown dataset.
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
