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flowers_microsoft_resnet50 – AI Model by itsTomLie | AlphaNeural AI

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itsTomLie/
flowers_microsoft_resnet50

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image-classification

generated_from_trainer

microsoft/resnet-50

autotrain_compatible

endpoints_compatible

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flowers_microsoft_resnet50

This model is a fine-tuned version of microsoft/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: 0.02
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10
mixed_precision_training: Native AMP

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1