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resnet-50-finetuned-pneumonia – AI Model by Adi-19 | AlphaNeural AI
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Adi-19
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resnet-50-finetuned-pneumonia
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transformers
safetensors
resnet
image-classification
generated_from_trainer
imagefolder
microsoft/resnet-50
finetune
apache-2.0
model-index
endpoints_compatible
us
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resnet-50-finetuned-pneumonia
This model is a fine-tuned version of
microsoft/resnet-50
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 0.3207
Accuracy: 0.7481
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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.4841
1.0
74
0.4631
0.7203
0.3937
2.0
148
0.3545
0.7261
0.3728
3.0
222
0.3207
0.7481
Framework versions
Transformers 4.57.1
Pytorch 2.9.0+cpu
Datasets 4.4.1
Tokenizers 0.22.1
