vit-base-patch16-224-ethosrealdata

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

• Loss: 0.2117
• Accuracy: 0.9340

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: 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
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.9707	0.9913	57	0.6825	0.8160
0.3507	2.0	115	0.3680	0.8909
0.2002	2.9913	172	0.3121	0.9023
0.1249	4.0	230	0.2951	0.9150
0.1002	4.9913	287	0.2596	0.9251
0.1014	6.0	345	0.2615	0.9251
0.1261	6.9913	402	0.2437	0.9365
0.0556	8.0	460	0.2198	0.9416
0.0415	8.9913	517	0.2119	0.9416
0.0294	9.9130	570	0.2117	0.9340

Framework versions

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