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# DinoAmoros-small-2025_05_06_36794-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: 2.8192
- F1 Micro: 0.4
- F1 Macro: 0.2333
- Accuracy: 0.4
- Learning Rate: 1e-05

## 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: 150
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1 Micro | F1 Macro | Accuracy | Rate   |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:--------:|:------:|
| No log        | 1.0   | 1    | 3.1980          | 0.0      | 0.0      | 0.0      | 0.001  |
| No log        | 2.0   | 2    | 3.1316          | 0.0      | 0.0      | 0.0      | 0.001  |
| No log        | 3.0   | 3    | 3.125           | 0.0      | 0.0      | 0.0      | 0.001  |
| No log        | 4.0   | 4    | 3.1275          | 0.0      | 0.0      | 0.0      | 0.001  |
| No log        | 5.0   | 5    | 3.0676          | 0.1      | 0.0571   | 0.1      | 0.001  |
| No log        | 6.0   | 6    | 3.0656          | 0.1      | 0.0571   | 0.1      | 0.001  |
| No log        | 7.0   | 7    | 3.0043          | 0.1      | 0.05     | 0.1      | 0.001  |
| No log        | 8.0   | 8    | 2.9486          | 0.3      | 0.1531   | 0.3      | 0.001  |
| No log        | 9.0   | 9    | 2.8736          | 0.4      | 0.2816   | 0.4      | 0.001  |
| No log        | 10.0  | 10   | 2.8121          | 0.4      | 0.2816   | 0.4      | 0.001  |
| No log        | 11.0  | 11   | 2.7541          | 0.6      | 0.4028   | 0.6      | 0.001  |
| No log        | 12.0  | 12   | 2.6967          | 0.6      | 0.4028   | 0.6      | 0.001  |
| No log        | 13.0  | 13   | 2.6596          | 0.6      | 0.4841   | 0.6      | 0.001  |
| No log        | 14.0  | 14   | 2.6483          | 0.5      | 0.3571   | 0.5      | 0.001  |
| No log        | 15.0  | 15   | 2.6144          | 0.5      | 0.3571   | 0.5      | 0.001  |
| No log        | 16.0  | 16   | 2.5909          | 0.5      | 0.3571   | 0.5      | 0.001  |
| No log        | 17.0  | 17   | 2.5481          | 0.5      | 0.4286   | 0.5      | 0.001  |
| No log        | 18.0  | 18   | 2.5126          | 0.5      | 0.3619   | 0.5      | 0.001  |
| No log        | 19.0  | 19   | 2.4791          | 0.5      | 0.4286   | 0.5      | 0.001  |
| No log        | 20.0  | 20   | 2.4738          | 0.5      | 0.4286   | 0.5      | 0.001  |
| No log        | 21.0  | 21   | 2.4310          | 0.5      | 0.4286   | 0.5      | 0.001  |
| No log        | 22.0  | 22   | 2.4030          | 0.5      | 0.4286   | 0.5      | 0.001  |
| No log        | 23.0  | 23   | 2.4001          | 0.5      | 0.4286   | 0.5      | 0.001  |
| No log        | 24.0  | 24   | 2.3993          | 0.5      | 0.4286   | 0.5      | 0.001  |
| No log        | 25.0  | 25   | 2.3928          | 0.5      | 0.4286   | 0.5      | 0.001  |
| No log        | 26.0  | 26   | 2.3896          | 0.5      | 0.4286   | 0.5      | 0.001  |
| No log        | 27.0  | 27   | 2.3909          | 0.5      | 0.4286   | 0.5      | 0.001  |
| No log        | 28.0  | 28   | 2.3772          | 0.5      | 0.4286   | 0.5      | 0.001  |
| No log        | 29.0  | 29   | 2.3432          | 0.5      | 0.4286   | 0.5      | 0.001  |
| No log        | 30.0  | 30   | 2.3192          | 0.5      | 0.4286   | 0.5      | 0.001  |
| No log        | 31.0  | 31   | 2.3088          | 0.6      | 0.5476   | 0.6      | 0.001  |
| No log        | 32.0  | 32   | 2.3004          | 0.6      | 0.5476   | 0.6      | 0.001  |
| No log        | 33.0  | 33   | 2.3044          | 0.6      | 0.5476   | 0.6      | 0.001  |
| No log        | 34.0  | 34   | 2.2979          | 0.6      | 0.5476   | 0.6      | 0.001  |
| No log        | 35.0  | 35   | 2.3048          | 0.6      | 0.5476   | 0.6      | 0.001  |
| No log        | 36.0  | 36   | 2.2987          | 0.6      | 0.5476   | 0.6      | 0.001  |
| No log        | 37.0  | 37   | 2.2997          | 0.6      | 0.5476   | 0.6      | 0.001  |
| No log        | 38.0  | 38   | 2.3195          | 0.6      | 0.5476   | 0.6      | 0.001  |
| No log        | 39.0  | 39   | 2.3158          | 0.5      | 0.4286   | 0.5      | 0.001  |
| No log        | 40.0  | 40   | 2.3083          | 0.5      | 0.4286   | 0.5      | 0.001  |
| No log        | 41.0  | 41   | 2.2830          | 0.5      | 0.4286   | 0.5      | 0.0001 |
| No log        | 42.0  | 42   | 2.2719          | 0.5      | 0.4286   | 0.5      | 0.0001 |
| No log        | 43.0  | 43   | 2.2404          | 0.5      | 0.4286   | 0.5      | 0.0001 |
| No log        | 44.0  | 44   | 2.2439          | 0.5      | 0.4286   | 0.5      | 0.0001 |
| No log        | 45.0  | 45   | 2.2249          | 0.5      | 0.4286   | 0.5      | 0.0001 |
| No log        | 46.0  | 46   | 2.2116          | 0.5      | 0.4286   | 0.5      | 0.0001 |
| No log        | 47.0  | 47   | 2.1979          | 0.5      | 0.4286   | 0.5      | 0.0001 |
| No log        | 48.0  | 48   | 2.2088          | 0.5      | 0.4286   | 0.5      | 0.0001 |
| No log        | 49.0  | 49   | 2.2075          | 0.5      | 0.4286   | 0.5      | 0.0001 |
| No log        | 50.0  | 50   | 2.2067          | 0.5      | 0.4286   | 0.5      | 0.0001 |
| No log        | 51.0  | 51   | 2.2182          | 0.5      | 0.4286   | 0.5      | 0.0001 |
| No log        | 52.0  | 52   | 2.2243          | 0.5      | 0.4286   | 0.5      | 0.0001 |
| No log        | 53.0  | 53   | 2.2344          | 0.5      | 0.4286   | 0.5      | 0.0001 |
| No log        | 54.0  | 54   | 2.2222          | 0.5      | 0.4286   | 0.5      | 1e-05  |
| No log        | 55.0  | 55   | 2.2211          | 0.5      | 0.4286   | 0.5      | 1e-05  |
| No log        | 56.0  | 56   | 2.2072          | 0.5      | 0.4286   | 0.5      | 1e-05  |
| No log        | 57.0  | 57   | 2.2094          | 0.5      | 0.4286   | 0.5      | 1e-05  |


### Framework versions

- Transformers 4.48.0
- Pytorch 2.6.0+cu118
- Datasets 3.0.2
- Tokenizers 0.21.1

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