dinov2-base-MEG5-5

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

• Loss: 0.6964
• Accuracy: 0.8704

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: 64
• eval_batch_size: 64
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 256
• 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
0.1774	1.0000	12653	0.6342	0.8221
0.1053	2.0	25307	0.5782	0.8484
0.0592	3.0000	37960	0.5909	0.8606
0.0452	4.0	50614	0.6203	0.8698
0.0121	4.9998	63265	0.6964	0.8704

Framework versions

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