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DinoV1 – AI Model by Afzalsiiit | AlphaNeural AI
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DinoV1
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transformers
safetensors
dinov2
image-classification
generated_from_trainer
imagefolder
facebook/dinov2-base
finetune
apache-2.0
endpoints_compatible
us
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DinoV1
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: 0.2053
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: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.8584
1.0
77
0.7605
0.4719
2.0
154
0.3359
0.3139
3.0
231
0.2053
Framework versions
Transformers 5.12.1
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
