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swinv2-tiny-patch4-window8-256-finetuned-IDRiD-2 – AI Model by SJChaudhuri | AlphaNeural AI
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SJChaudhuri
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swinv2-tiny-patch4-window8-256-finetuned-IDRiD-2
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transformers
pytorch
tensorboard
swinv2
image-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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swinv2-tiny-patch4-window8-256-finetuned-IDRiD-2
This model is a fine-tuned version of
microsoft/swinv2-tiny-patch4-window8-256
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9575
Precision: 0.6190
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
No log
1.0
3
1.1320
0.5476
No log
2.0
6
1.0104
0.5714
No log
3.0
9
0.9262
0.5714
0.9507
4.0
12
0.9342
0.6190
0.9507
5.0
15
0.9575
0.6190
Framework versions
Transformers 4.30.0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.13.3
