swaddling-classifier

This model is a fine-tuned version of google/vit-base-patch16-224 on the ahaque/swaddling_classifier dataset. It achieves the following results on the evaluation set:

• Loss: 0.4074
• Accuracy: 1.0

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: 0.0003
• 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	1	0.5106	0.6667
No log	2.0	2	0.4672	0.6667
No log	3.0	3	0.4365	1.0
No log	4.0	4	0.4169	1.0
No log	5.0	5	0.4074	1.0

Framework versions

• Transformers 4.42.3
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1