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efficientnet-b0-finetuned-chest-xray-pneumonia – AI Model by yashshinde0080 | AlphaNeural AI
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yashshinde0080
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efficientnet-b0-finetuned-chest-xray-pneumonia
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transformers
safetensors
efficientnet
image-classification
generated_from_trainer
imagefolder
google/efficientnet-b0
finetune
apache-2.0
model-index
endpoints_compatible
us
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efficientnet-b0-finetuned-chest-xray-pneumonia
This model is a fine-tuned version of
google/efficientnet-b0
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 0.2240
Accuracy: 0.9349
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
0.4634
1.0
37
0.4140
0.8506
0.2814
2.0
74
0.2240
0.9349
0.2495
3.0
111
0.2450
0.9157
Framework versions
Transformers 4.57.1
Pytorch 2.9.0+cpu
Datasets 4.4.1
Tokenizers 0.22.1
