vit-base-patch16-224-in21k

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3383
• F1: 0.9799

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: 48
• eval_batch_size: 48
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	10	0.7369	0.9461
No log	2.0	20	0.6143	0.9526
No log	3.0	30	0.5401	0.9594
No log	4.0	40	0.4809	0.9662
No log	5.0	50	0.4219	0.9595
No log	6.0	60	0.3864	0.9730
No log	7.0	70	0.3628	0.9730
No log	8.0	80	0.3496	0.9732
No log	9.0	90	0.3419	0.9799
No log	10.0	100	0.3383	0.9799

Framework versions

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