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convnext-tiny-224-jvadlamudi2 – AI Model by jvadlamudi2 | AlphaNeural AI
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jvadlamudi2
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convnext-tiny-224-jvadlamudi2
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transformers
pytorch
tensorboard
convnext
image-classification
generated_from_trainer
facebook/convnext-tiny-224
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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convnext-tiny-224-jvadlamudi2
This model is a fine-tuned version of
facebook/convnext-tiny-224
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5780
Accuracy: 0.7946
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
No log
1.0
7
0.5882
0.8036
0.6213
2.0
14
0.5821
0.7857
0.6123
3.0
21
0.5780
0.7946
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.0
Tokenizers 0.13.3
