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jozhang97-deta-resnet-50-finetuned-10k-cppe5-manual-pad – AI Model by qubvel-hf | AlphaNeural AI

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jozhang97-deta-resnet-50-finetuned-10k-cppe5-manual-pad

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jozhang97/deta-resnet-50

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jozhang97-deta-resnet-50-finetuned-10k-cppe5-manual-pad

This model is a fine-tuned version of jozhang97/deta-resnet-50 on the cppe-5 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: 5e-05
train_batch_size: 4
eval_batch_size: 1
seed: 1337
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 100.0
mixed_precision_training: Native AMP

Framework versions

Transformers 4.41.0.dev0
Pytorch 1.13.0+cu117
Datasets 2.18.0
Tokenizers 0.19.0