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convnext-large-224-finetuned-dog-vs-cat – AI Model by kiranshivaraju | AlphaNeural AI
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kiranshivaraju
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convnext-large-224-finetuned-dog-vs-cat
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transformers
tensorboard
safetensors
convnext
image-classification
generated_from_trainer
facebook/convnext-large-224
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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convnext-large-224-finetuned-dog-vs-cat
This model is a fine-tuned version of
facebook/convnext-large-224
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3586
Recall: 0.9783
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
Recall
0.496
0.9954
164
0.4792
0.9201
0.3996
1.9970
329
0.3836
0.9765
0.373
2.9863
492
0.3586
0.9783
Framework versions
Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1
