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# mango_output12

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the Docty/Mangovariety dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3909
- Accuracy: 0.9917

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 1337
- 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: 5.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 85   | 1.2826          | 0.9375   |
| No log        | 2.0   | 170  | 0.7519          | 0.975    |
| No log        | 3.0   | 255  | 0.5236          | 0.9792   |
| No log        | 4.0   | 340  | 0.4190          | 0.9875   |
| No log        | 5.0   | 425  | 0.3909          | 0.9917   |


### Framework versions

- Transformers 4.51.1
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.0

dosehri sindhri fajri anwar ratool chaunsa (white) langra chaunsa (black) chaunsa (summer bahisht)