convnext-tiny-224-leicester_binary

This model is a fine-tuned version of facebook/convnext-tiny-224 on the davanstrien/leicester_loaded_annotations_binary dataset. It achieves the following results on the evaluation set:

• Loss: 0.4213
• Precision: 0.4583
• Recall: 0.5
• F1: 0.4783
• Accuracy: 0.9167

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: 2e-05
• train_batch_size: 64
• eval_batch_size: 128
• seed: 1337
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	7	0.4213	0.4583	0.5	0.4783	0.9167

Framework versions

• Transformers 4.26.0.dev0
• Pytorch 1.12.1+cu113
• Datasets 2.7.1
• Tokenizers 0.13.2