idbwtiny

This model is a fine-tuned version of facebook/convnext-tiny-224 on the sooks/id2 dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.0155
• eval_accuracy: 0.9953
• eval_runtime: 301.1388
• eval_samples_per_second: 178.967
• eval_steps_per_second: 22.372
• epoch: 6.37
• step: 12963

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: 0.0002
• train_batch_size: 150
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.15.2