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table-transformer-azure-dust-65 – AI Model by AmineAllo | AlphaNeural AI
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table-transformer-azure-dust-65
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transformers
pytorch
table-transformer
object-detection
generated_from_trainer
AmineAllo/MT-celestial-grass-58
finetune
endpoints_compatible
us
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table-transformer-azure-dust-65
This model is a fine-tuned version of
toobiza/MT-celestial-grass-58
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 1.1439
eval_loss_ce: 0.0014
eval_loss_bbox: 0.0818
eval_cardinality_error: 1.0
eval_giou: 92.6646
eval_runtime: 26.1327
eval_samples_per_second: 3.061
eval_steps_per_second: 1.531
epoch: 4.17
step: 350
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: 5e-05
train_batch_size: 4
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Framework versions
Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
