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DinoAmoros-small-2025_05_05_49526-prova_bs16_freeze_monolabel – AI Model by Amoros | AlphaNeural AI
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DinoAmoros-small-2025_05_05_49526-prova_bs16_freeze_monolabel
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transformers
tensorboard
safetensors
dinov2
image-classification
generated_from_trainer
facebook/dinov2-small
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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DinoAmoros-small-2025_05_05_49526-prova_bs16_freeze_monolabel
This model is a fine-tuned version of
facebook/dinov2-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.3316
F1 Micro: 0.0
F1 Macro: 0.0
Accuracy: 0.0
Learning Rate: 0.001
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: 0.001
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1 Micro
F1 Macro
Accuracy
Rate
No log
1.0
1
3.3334
0.0
0.0
0.0
0.001
No log
2.0
2
3.3186
0.0
0.0
0.0
0.001
Framework versions
Transformers 4.48.0
Pytorch 2.6.0+cu118
Datasets 3.0.2
Tokenizers 0.21.1
