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swin-base-patch4-window7-224-in22k-Chinese-finetuned – AI Model by liyijing024 | AlphaNeural AI
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liyijing024
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swin-base-patch4-window7-224-in22k-Chinese-finetuned
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transformers
pytorch
tensorboard
swin
image-classification
generated_from_trainer
imagefolder
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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swin-base-patch4-window7-224-in22k-Chinese-finetuned
This model is a fine-tuned version of
microsoft/swin-base-patch4-window7-224-in22k
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 0.0000
Accuracy: 1.0
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: 128
eval_batch_size: 128
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 512
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
0.0121
0.99
140
0.0001
1.0
0.0103
1.99
280
0.0001
1.0
0.0049
2.99
420
0.0000
1.0
Framework versions
Transformers 4.20.1
Pytorch 1.8.0+cu111
Datasets 2.3.3.dev0
Tokenizers 0.12.1
