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convnext_checkpoints – AI Model by ZafarLocAI | AlphaNeural AI
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ZafarLocAI
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convnext_checkpoints
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transformers
safetensors
convnextv2
image-classification
generated_from_trainer
facebook/convnextv2-large-22k-224
finetune
apache-2.0
endpoints_compatible
us
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convnext_checkpoints
This model is a fine-tuned version of
facebook/convnextv2-large-22k-224
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0132
Accuracy: 0.9966
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: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0360
1.0
250
0.0252
0.9922
0.0347
2.0
500
0.0358
0.9870
0.0108
3.0
750
0.0132
0.9966
Framework versions
Transformers 5.3.0
Pytorch 2.10.0+cu128
Datasets 4.6.1
Tokenizers 0.22.2
