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