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convnext-tiny-224-finetuned-aiornot – AI Model by kanak8278 | AlphaNeural AI
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convnext-tiny-224-finetuned-aiornot
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transformers
pytorch
tensorboard
convnext
image-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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convnext-tiny-224-finetuned-aiornot
This model is a fine-tuned version of
facebook/convnext-tiny-224
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1051
Accuracy: 0.9608
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: 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: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2188
1.0
523
0.1419
0.9431
0.0957
2.0
1047
0.1018
0.9592
0.0847
3.0
1569
0.1051
0.9608
Framework versions
Transformers 4.27.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2
