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convnextv2-tiny-1k-224-finetuned-cifar10 – AI Model by BeckerAnas | AlphaNeural AI
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convnextv2-tiny-1k-224-finetuned-cifar10
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transformers
safetensors
convnextv2
image-classification
generated_from_trainer
facebook/convnextv2-tiny-1k-224
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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convnextv2-tiny-1k-224-finetuned-cifar10
This model is a fine-tuned version of
facebook/convnextv2-tiny-1k-224
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6668
Accuracy: 0.8427
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: 256
eval_batch_size: 256
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 1024
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.516
1.0
41
1.2639
0.6939
1.0647
2.0
82
0.7782
0.8099
0.9449
2.9441
120
0.6668
0.8427
Framework versions
Transformers 4.49.0
Pytorch 2.7.0+cpu
Datasets 3.3.2
Tokenizers 0.21.0
