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swin-base-patch4-window7-224-in22k-finetuned-ham – AI Model by parvpareek | AlphaNeural AI
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swin-base-patch4-window7-224-in22k-finetuned-ham
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transformers
tensorboard
safetensors
swin
image-classification
generated_from_trainer
microsoft/swin-base-patch4-window7-224-in22k
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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swin-base-patch4-window7-224-in22k-finetuned-ham
This model is a fine-tuned version of
microsoft/swin-base-patch4-window7-224-in22k
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3549
Accuracy: 0.8743
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.533
0.99
70
0.5287
0.8144
0.4244
2.0
141
0.3899
0.8643
0.3401
2.98
210
0.3549
0.8743
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1
