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alexnet-pneumonia – AI Model by dyaminda | AlphaNeural AI
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dyaminda
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alexnet-pneumonia
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transformers
pytorch
alexnet
image-classification
generated_from_trainer
custom_code
autotrain_compatible
us
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alexnet-pneumonia
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1262
Accuracy: 0.9522
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: 16
eval_batch_size: 50
seed: 42
gradient_accumulation_steps: 4
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.4174
0.99
52
0.3565
0.8496
0.2598
2.0
105
0.2537
0.8986
0.1915
2.99
157
0.2482
0.9021
0.1696
4.0
210
0.1265
0.9558
0.1244
4.95
260
0.1234
0.9547
Framework versions
Transformers 4.33.2
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3
