datrix-image-classification-job_5472a213

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

• Loss: 2.7470
• Accuracy: 0.2566

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: 32
• eval_batch_size: 64
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 0.1
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
3.5699	1.0	239	3.5545	0.0642
3.3479	2.0	478	3.3057	0.1170
3.2327	3.0	717	3.1975	0.1208
3.1248	4.0	956	3.0876	0.1434
3.0689	5.0	1195	2.9798	0.1736
2.9669	6.0	1434	2.9051	0.2038
2.9706	7.0	1673	2.8224	0.2151
2.9171	8.0	1912	2.7895	0.2528
2.8688	9.0	2151	2.7562	0.2528
2.8695	10.0	2390	2.7470	0.2566

Framework versions

• Transformers 5.9.0
• Pytorch 2.12.0+cu130
• Datasets 5.0.0
• Tokenizers 0.22.2