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MT-swift-glade-94 – AI Model by AmineAllo | AlphaNeural AI

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AmineAllo/
MT-swift-glade-94

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table-transformer

object-detection

generated_from_trainer

AmineAllo/MT-ancient-spaceship-83

endpoints_compatible

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MT-swift-glade-94

This model is a fine-tuned version of toobiza/MT-ancient-spaceship-83 on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.1680
eval_loss_ce: 0.0000
eval_loss_bbox: 0.0230
eval_cardinality_error: 1.0
eval_giou: 97.3433
eval_runtime: 133.3494
eval_samples_per_second: 2.01
eval_steps_per_second: 0.502
epoch: 0.24
step: 100

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: 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 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.13.3