vit-base-plankton

This model is a fine-tuned version of apple/mobilevit-xx-small on the plankton_fairscope dataset. It achieves the following results on the evaluation set:

• Loss: 0.7642
• Accuracy: 0.8051

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: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.5476	0.52	100	1.2745	0.7419
1.0997	1.04	200	0.8653	0.7842
0.9498	1.56	300	0.7642	0.8051

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0