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dmarcello_model-resnet-50-4epochs – AI Model by dmarcello | AlphaNeural AI
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dmarcello
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dmarcello_model-resnet-50-4epochs
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transformers
tensorboard
safetensors
vit
image-classification
generated_from_trainer
microsoft/resnet-50
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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dmarcello_model-resnet-50-4epochs
This model is a fine-tuned version of
microsoft/resnet-50
on the ccmt-augmented 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: 0.0002
train_batch_size: 32
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2
