Image-Classifier-Pokemons

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.8369
• Accuracy: 0.8921

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
• training_steps: 1200

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
4.9198	0.9943	87	4.8889	0.1158
4.4617	2.0	175	4.4093	0.5868
3.869	2.9943	262	3.8642	0.7534
3.4201	4.0	350	3.4278	0.8170
3.0186	4.9943	437	3.0832	0.8220
2.6769	6.0	525	2.7755	0.8578
2.4469	6.9943	612	2.5311	0.8635
2.1796	8.0	700	2.3141	0.8771
2.0105	8.9943	787	2.1620	0.8849
1.8571	10.0	875	2.0283	0.8885
1.7549	10.9943	962	1.9372	0.8856
1.6934	12.0	1050	1.8779	0.8949
1.6377	12.9943	1137	1.8180	0.9006
1.6182	13.7143	1200	1.8369	0.8921

Framework versions

• Transformers 4.40.2
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1