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dinov2-base-finetuned-oxford – AI Model by mansee | AlphaNeural AI
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mansee
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dinov2-base-finetuned-oxford
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transformers
tensorboard
safetensors
dinov2
image-classification
generated_from_trainer
imagefolder
facebook/dinov2-base
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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dinov2-base-finetuned-oxford
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: 0.2714
Accuracy: 0.9299
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: 3
eval_batch_size: 3
seed: 42
gradient_accumulation_steps: 3
total_train_batch_size: 9
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6782
1.0
15460
0.4996
0.8013
0.4513
2.0
30920
0.3186
0.8837
0.2692
3.0
46380
0.2714
0.9299
Framework versions
Transformers 4.40.1
Pytorch 2.0.1+cu117
Datasets 2.18.0
Tokenizers 0.19.1
