dinov2-base-ODIR-5K – AI Model by Isaskar | AlphaNeural AI

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Isaskar/
dinov2-base-ODIR-5K

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image-classification

generated_from_trainer

facebook/dinov2-base

autotrain_compatible

endpoints_compatible

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dinov2-base-ODIR-5K

This model is a fine-tuned version of facebook/dinov2-base on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.5700
Accuracy: 0.7189
F1: 0.6333

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.6374	0.9858	52	0.6186	0.6778	0.2031
0.5789	1.9905	105	0.5661	0.7153	0.3794
0.5368	2.9953	158	0.5334	0.7407	0.5756
0.4162	4.0	211	0.5747	0.6983	0.6198
0.3679	4.9858	263	0.5700	0.7189	0.6333
0.2431	5.9147	312	0.6111	0.7564	0.6331

Framework versions

Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1