test_dino-large-2025_05_19_65652-bs16_freeze – AI Model by Amoros | AlphaNeural AI

You can deploy this model and start earning money today!

Amoros/
test_dino-large-2025_05_19_65652-bs16_freeze

like

0

image-classification

generated_from_trainer

facebook/dinov2-large

autotrain_compatible

endpoints_compatible

Views

No views yet

test_dino-large-2025_05_19_65652-bs16_freeze

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: 0.0573
F1 Micro: 0.6898
F1 Macro: 0.1356
Accuracy: 0.5959
Learning Rate: 0.0005

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: 0.0005
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Micro	F1 Macro	Accuracy	Rate
0.0771	1.0	1081	0.0632	0.6761	0.1357	0.5803	0.0005
0.0671	2.0	2162	0.0594	0.6917	0.1381	0.6018	0.0005
0.0664	3.0	3243	0.0612	0.6820	0.1381	0.6087	0.0005
0.0636	4.0	4324	0.0574	0.6980	0.1413	0.6080	0.0005
0.063	5.0	5405	0.0581	0.6880	0.1375	0.6032	0.0005

Framework versions

Transformers 4.48.0
Pytorch 2.6.0+cu118
Datasets 3.0.2
Tokenizers 0.21.1