dinov2-base-MEG4-6 – AI Model by crocutacrocuto | AlphaNeural AI

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crocutacrocuto/
dinov2-base-MEG4-6

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image-classification

generated_from_trainer

facebook/dinov2-base

autotrain_compatible

endpoints_compatible

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dinov2-base-MEG4-6

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: 1.4166
Accuracy: 0.8107

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1517	1.0000	11596	1.0708	0.7685
0.1411	2.0000	23192	0.9791	0.7985
0.0951	2.9999	34788	1.2306	0.8006
0.0602	4.0	46385	1.1623	0.7970
0.0314	5.0000	57981	1.4054	0.8065
0.0233	5.9999	69576	1.4166	0.8107

Framework versions

Transformers 4.40.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1