dinov2-large-MEG6-5

This model is a fine-tuned version of facebook/dinov2-large on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2923
• Accuracy: 0.9246

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4129	1.0000	5156	0.4507	0.8653
0.3004	1.9999	10312	0.3710	0.8911
0.1511	2.9999	15468	0.3254	0.9078
0.1183	4.0	20625	0.3185	0.9161
0.0976	4.9998	25780	0.2923	0.9246

Framework versions

• Transformers 4.46.3
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.20.3