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convnextv2-tiny-1k-224-for-pre_evaluation – AI Model by Prot10 | AlphaNeural AI
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Prot10
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convnextv2-tiny-1k-224-for-pre_evaluation
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transformers
pytorch
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-for-pre_evaluation
This model is a fine-tuned version of
facebook/convnextv2-tiny-1k-224
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.5076
Accuracy: 0.3263
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
1.5431
0.93
10
1.5140
0.3147
1.4792
1.95
21
1.5076
0.3263
1.4714
2.79
30
1.5027
0.3217
Framework versions
Transformers 4.32.1
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
