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# vit-msn-small-beta-fia-manually-enhanced-HSV_test_4

This model is a fine-tuned version of [Melo1512/vit-msn-small-beta-fia-manually-enhanced-HSV_test_3](https://huggingface.co/Melo1512/vit-msn-small-beta-fia-manually-enhanced-HSV_test_3) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3252
- Accuracy: 0.8662

## 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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 100

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| No log        | 0.5714  | 1    | 0.3425          | 0.8803   |
| No log        | 1.7143  | 3    | 0.3532          | 0.8803   |
| No log        | 2.8571  | 5    | 0.3731          | 0.8732   |
| No log        | 4.0     | 7    | 0.3582          | 0.8662   |
| No log        | 4.5714  | 8    | 0.3560          | 0.8732   |
| 0.2214        | 5.7143  | 10   | 0.4090          | 0.8451   |
| 0.2214        | 6.8571  | 12   | 0.4253          | 0.8239   |
| 0.2214        | 8.0     | 14   | 0.3826          | 0.8592   |
| 0.2214        | 8.5714  | 15   | 0.3748          | 0.8592   |
| 0.2214        | 9.7143  | 17   | 0.3411          | 0.8592   |
| 0.2214        | 10.8571 | 19   | 0.3402          | 0.8521   |
| 0.1927        | 12.0    | 21   | 0.3833          | 0.8592   |
| 0.1927        | 12.5714 | 22   | 0.3901          | 0.8592   |
| 0.1927        | 13.7143 | 24   | 0.3608          | 0.8451   |
| 0.1927        | 14.8571 | 26   | 0.3565          | 0.8662   |
| 0.1927        | 16.0    | 28   | 0.3677          | 0.8803   |
| 0.1927        | 16.5714 | 29   | 0.3672          | 0.8732   |
| 0.213         | 17.7143 | 31   | 0.3429          | 0.8592   |
| 0.213         | 18.8571 | 33   | 0.3402          | 0.8803   |
| 0.213         | 20.0    | 35   | 0.3508          | 0.8662   |
| 0.213         | 20.5714 | 36   | 0.3578          | 0.8662   |
| 0.213         | 21.7143 | 38   | 0.3310          | 0.8662   |
| 0.1927        | 22.8571 | 40   | 0.3252          | 0.8662   |
| 0.1927        | 24.0    | 42   | 0.3473          | 0.8592   |
| 0.1927        | 24.5714 | 43   | 0.3671          | 0.8592   |
| 0.1927        | 25.7143 | 45   | 0.3863          | 0.8592   |
| 0.1927        | 26.8571 | 47   | 0.3622          | 0.8592   |
| 0.1927        | 28.0    | 49   | 0.3521          | 0.8592   |
| 0.1856        | 28.5714 | 50   | 0.3529          | 0.8592   |
| 0.1856        | 29.7143 | 52   | 0.3596          | 0.8592   |
| 0.1856        | 30.8571 | 54   | 0.3648          | 0.8592   |
| 0.1856        | 32.0    | 56   | 0.3637          | 0.8662   |
| 0.1856        | 32.5714 | 57   | 0.3686          | 0.8592   |
| 0.1856        | 33.7143 | 59   | 0.3602          | 0.8521   |
| 0.18          | 34.8571 | 61   | 0.3648          | 0.8662   |
| 0.18          | 36.0    | 63   | 0.3529          | 0.8521   |
| 0.18          | 36.5714 | 64   | 0.3595          | 0.8662   |
| 0.18          | 37.7143 | 66   | 0.3939          | 0.8521   |
| 0.18          | 38.8571 | 68   | 0.4526          | 0.8239   |
| 0.2048        | 40.0    | 70   | 0.4505          | 0.8239   |
| 0.2048        | 40.5714 | 71   | 0.4319          | 0.8451   |
| 0.2048        | 41.7143 | 73   | 0.3779          | 0.8521   |
| 0.2048        | 42.8571 | 75   | 0.3352          | 0.8592   |
| 0.2048        | 44.0    | 77   | 0.3353          | 0.8662   |
| 0.2048        | 44.5714 | 78   | 0.3450          | 0.8521   |
| 0.1977        | 45.7143 | 80   | 0.3557          | 0.8521   |
| 0.1977        | 46.8571 | 82   | 0.3715          | 0.8521   |
| 0.1977        | 48.0    | 84   | 0.3852          | 0.8521   |
| 0.1977        | 48.5714 | 85   | 0.3962          | 0.8521   |
| 0.1977        | 49.7143 | 87   | 0.4063          | 0.8521   |
| 0.1977        | 50.8571 | 89   | 0.4012          | 0.8521   |
| 0.1952        | 52.0    | 91   | 0.3912          | 0.8521   |
| 0.1952        | 52.5714 | 92   | 0.3874          | 0.8521   |
| 0.1952        | 53.7143 | 94   | 0.3822          | 0.8521   |
| 0.1952        | 54.8571 | 96   | 0.3758          | 0.8592   |
| 0.1952        | 56.0    | 98   | 0.3722          | 0.8592   |
| 0.1952        | 56.5714 | 99   | 0.3720          | 0.8592   |
| 0.1714        | 57.1429 | 100  | 0.3717          | 0.8592   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1

extra incomplete normal