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swinv2-large-patch4-window12to16-192to256-22kto1k-ft-finetuned-LungCancer-LC25000-AH-40-30-30 – AI Model by ALM-AHME | AlphaNeural AI
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ALM-AHME
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swinv2-large-patch4-window12to16-192to256-22kto1k-ft-finetuned-LungCancer-LC25000-AH-40-30-30
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transformers
pytorch
tensorboard
swinv2
image-classification
generated_from_trainer
imagefolder
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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swinv2-large-patch4-window12to16-192to256-22kto1k-ft-finetuned-LungCancer-LC25000-AH-40-30-30
This model is a fine-tuned version of
microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 0.0418
Accuracy: 0.9869
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: 0.0005
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.5
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.3299
1.0
187
0.2118
0.9218
0.5922
2.0
374
0.3206
0.8629
0.1763
3.0
561
0.2447
0.9127
0.1351
4.0
749
0.1028
0.9564
0.142
4.99
935
0.0418
0.9869
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
