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dinov2-base-finetuned-oxford – AI Model by Mickey4813 | AlphaNeural AI
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Mickey4813
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dinov2-base-finetuned-oxford
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tensorboard
safetensors
dinov2
generated_from_trainer
facebook/dinov2-base
finetune
apache-2.0
us
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dinov2-base-finetuned-oxford
This model is a fine-tuned version of
facebook/dinov2-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2494
Accuracy: 0.9275
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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
1.1017
1.0
230
0.5766
0.8152
0.4159
2.0
460
0.4022
0.8727
0.0327
3.0
690
0.2494
0.9275
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
