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MT-true-dawn-84 – AI Model by AmineAllo | AlphaNeural AI | AlphaNeural AI

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AmineAllo/
MT-true-dawn-84

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table-transformer

object-detection

generated_from_trainer

AmineAllo/table-transformer-stellar-vortex-81

endpoints_compatible

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MT-true-dawn-84

This model is a fine-tuned version of toobiza/table-transformer-stellar-vortex-81 on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.7014
eval_loss_ce: 0.0000
eval_loss_bbox: 0.0987
eval_cardinality_error: 1.0
eval_giou: 89.9673
eval_runtime: 39.9667
eval_samples_per_second: 2.727
eval_steps_per_second: 0.701
epoch: 0.28
step: 40

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: 0.0005
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: 1

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3