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tblstructrecog_finetuned_tbltransstrucrecog_v2_s1_253s – AI Model by nsugianto | AlphaNeural AI
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nsugianto
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tblstructrecog_finetuned_tbltransstrucrecog_v2_s1_253s
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transformers
tensorboard
safetensors
table-transformer
object-detection
generated_from_trainer
microsoft/table-transformer-structure-recognition
finetune
mit
endpoints_compatible
us
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tblstructrecog_finetuned_tbltransstrucrecog_v2_s1_253s
This model is a fine-tuned version of
microsoft/table-transformer-structure-recognition
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: 2
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1500
mixed_precision_training: Native AMP
Framework versions
Transformers 4.41.0.dev0
Pytorch 2.0.1
Datasets 2.18.0
Tokenizers 0.19.1
