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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](https://huggingface.co/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

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