metadata

library_name: transformers
license: apache-2.0
base_model: facebook/dinov2-large
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: dinov2-large-cluster-finetune-linear-probe-trueface
    results: []

dinov2-large-cluster-finetune-linear-probe-trueface

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

Loss: 0.0623
Accuracy: 0.9821

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
distributed_type: multi-GPU
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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0709	0.9995	1476	0.0753	0.9790
0.0634	1.9990	2952	0.0623	0.9821

Framework versions

Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0