
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# mvp_flowers

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0181
- Accuracy: 0.907

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.8355        | 0.99  | 62   | 3.7493          | 0.711    |
| 3.2592        | 2.0   | 125  | 3.1841          | 0.886    |
| 2.9952        | 2.98  | 186  | 3.0181          | 0.907    |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.13.3

1 10 16 98 99 17 18 19 2 20 21 22 23 24 100 25 26 27 28 29 3 30 31 32 33 101 34 35 36 37 38 39 4 40 41 42 102 43 44 45 46 47 48 49 5 50 51 11 52 53 54 55 56 57 58 59 6 60 12 61 62 63 64 65 66 67 68 69 7 13 70 71 72 73 74 75 76 77 78 79 14 8 80 81 82 83 84 85 86 87 88 15 89 9 90 91 92 93 94 95 96 97