convnext-base-224-22k-finetuned-combinedSpiders

This model is a fine-tuned version of facebook/convnext-base-224-22k on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.5055
• eval_accuracy: 0.8606
• eval_precision: 0.7626
• eval_recall: 0.6524
• eval_f1: 0.6879
• eval_runtime: 165.6691
• eval_samples_per_second: 162.481
• eval_steps_per_second: 10.159
• step: 0

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: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 4

Framework versions

• Transformers 4.35.1
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1