metadata

license: apache-2.0
base_model: facebook/dinov2-base
tags:
  - generated_from_trainer
datasets:
  - imagefolder
model-index:
  - name: dino_finetuned
    results: []

dino_finetuned

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

eval_loss: 1.2604
eval_accuracy: 0.6907
eval_runtime: 159.664
eval_samples_per_second: 56.97
eval_steps_per_second: 1.096
epoch: 11.1899
step: 1000

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: 52
eval_batch_size: 52
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 208
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1