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convnext-tiny-224_album_vit – AI Model by venetis | AlphaNeural AI
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venetis
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convnext-tiny-224_album_vit
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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_album_vit
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: 2.3898
Accuracy: 0.4912
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: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
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
3.6659
1.0
944
3.5335
0.2607
2.8174
2.0
1888
2.6391
0.4418
2.4959
3.0
2832
2.3898
0.4912
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2
