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nsugianto/tblstructrecog_finetuned_detresnet_v2_s1_311s · Pirate Face

nsugianto/tblstructrecog_finetuned_detresnet_v2_s1_311s

Source: 🤗object-detectionapache-2.042M params167 MBsafetensors✓ 5 checksumsupdated 902d ago

tblstructrecog_finetuned_detresnet_v2_s1_311s

This model is a fine-tuned version of facebook/detr-resnet-50 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-06
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

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Weight files: 5
Model size: 167 MB
Downloads · last month: 447
Publisher: Unclaimed

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