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swin-tiny-patch4-window7-224-finetuned-finetuned – AI Model by Angy309 | AlphaNeural AI
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Angy309
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swin-tiny-patch4-window7-224-finetuned-finetuned
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transformers
tensorboard
safetensors
swin
image-classification
generated_from_trainer
imagefolder
Angy309/swin-tiny-patch4-window7-224-finetuned
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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swin-tiny-patch4-window7-224-finetuned-finetuned
This model is a fine-tuned version of
Angy309/swin-tiny-patch4-window7-224-finetuned
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 0.1937
Accuracy: 0.9365
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
0.7093
0.9796
36
0.3130
0.8962
0.4969
1.9864
73
0.1937
0.9365
0.4523
2.9388
108
0.1961
0.9288
Framework versions
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
