convnextv2-base-22k-384-finetuned

This model is a fine-tuned version of facebook/convnextv2-base-22k-384 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3257
• Accuracy: 0.9611
• F1: 0.9510
• Precision: 0.9714
• Recall: 0.9315

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: 0.00015
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
No log	1.0	2	0.5986	0.8167	0.8092	0.7	0.9589
No log	2.0	4	0.3945	0.9611	0.9510	0.9714	0.9315
No log	3.0	6	0.3257	0.9611	0.9510	0.9714	0.9315

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0
• Datasets 2.12.0
• Tokenizers 0.13.3