This model is a fine-tuned version of facebook/convnext-base-224-22k on the image_folder dataset.
It achieves the following results on the evaluation set:
eval_loss: 0.1518
eval_f1: 0.9595
eval_runtime: 5.9337
eval_samples_per_second: 69.603
eval_steps_per_second: 2.191
epoch: 7.0
step: 364
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: 32
eval_batch_size: 32
seed: 666
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
