---
library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: pogona-vitticeps-gender
  results: []
---

<!-- 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. -->

# pogona-vitticeps-gender

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: 0.5663
- Accuracy: 0.7812

## 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: 4e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1028        | 1.0   | 2    | 1.1062          | 0.2812   |
| 1.0972        | 2.0   | 4    | 1.1082          | 0.3125   |
| 1.0793        | 3.0   | 6    | 1.0692          | 0.5312   |
| 1.0529        | 4.0   | 8    | 1.0578          | 0.625    |
| 1.0178        | 5.0   | 10   | 1.0288          | 0.625    |
| 0.9809        | 6.0   | 12   | 0.9988          | 0.6562   |
| 0.9422        | 7.0   | 14   | 0.9936          | 0.6562   |
| 0.8692        | 8.0   | 16   | 0.9761          | 0.625    |
| 0.8503        | 9.0   | 18   | 0.9326          | 0.5938   |
| 0.8128        | 10.0  | 20   | 0.9236          | 0.6562   |
| 0.777         | 11.0  | 22   | 0.8541          | 0.75     |
| 0.7407        | 12.0  | 24   | 0.8744          | 0.6562   |
| 0.692         | 13.0  | 26   | 0.8412          | 0.6875   |
| 0.6779        | 14.0  | 28   | 0.8611          | 0.6562   |
| 0.6261        | 15.0  | 30   | 0.8213          | 0.625    |
| 0.609         | 16.0  | 32   | 0.7389          | 0.7188   |
| 0.5905        | 17.0  | 34   | 0.7421          | 0.7188   |
| 0.5337        | 18.0  | 36   | 0.7651          | 0.6875   |
| 0.5091        | 19.0  | 38   | 0.7201          | 0.75     |
| 0.5178        | 20.0  | 40   | 0.7424          | 0.7188   |
| 0.4757        | 21.0  | 42   | 0.7573          | 0.6562   |
| 0.4548        | 22.0  | 44   | 0.7531          | 0.6562   |
| 0.4494        | 23.0  | 46   | 0.7185          | 0.7188   |
| 0.4627        | 24.0  | 48   | 0.6587          | 0.7188   |
| 0.423         | 25.0  | 50   | 0.6426          | 0.75     |
| 0.403         | 26.0  | 52   | 0.6525          | 0.75     |
| 0.3734        | 27.0  | 54   | 0.6733          | 0.75     |
| 0.38          | 28.0  | 56   | 0.6736          | 0.75     |
| 0.3702        | 29.0  | 58   | 0.7211          | 0.6875   |
| 0.3563        | 30.0  | 60   | 0.7263          | 0.6562   |
| 0.336         | 31.0  | 62   | 0.6676          | 0.6875   |
| 0.3131        | 32.0  | 64   | 0.6923          | 0.6875   |
| 0.3214        | 33.0  | 66   | 0.6137          | 0.75     |
| 0.3271        | 34.0  | 68   | 0.6708          | 0.8125   |
| 0.3253        | 35.0  | 70   | 0.5912          | 0.75     |
| 0.283         | 36.0  | 72   | 0.6332          | 0.7188   |
| 0.2874        | 37.0  | 74   | 0.6345          | 0.7188   |
| 0.2818        | 38.0  | 76   | 0.7593          | 0.6875   |
| 0.2774        | 39.0  | 78   | 0.6817          | 0.7188   |
| 0.2482        | 40.0  | 80   | 0.6784          | 0.6875   |
| 0.261         | 41.0  | 82   | 0.6631          | 0.7188   |
| 0.2945        | 42.0  | 84   | 0.6438          | 0.75     |
| 0.2734        | 43.0  | 86   | 0.7086          | 0.75     |
| 0.2536        | 44.0  | 88   | 0.6380          | 0.7188   |
| 0.2643        | 45.0  | 90   | 0.6723          | 0.6562   |
| 0.2273        | 46.0  | 92   | 0.6775          | 0.7188   |
| 0.235         | 47.0  | 94   | 0.6876          | 0.7188   |
| 0.2642        | 48.0  | 96   | 0.6382          | 0.7188   |
| 0.2467        | 49.0  | 98   | 0.6701          | 0.7188   |
| 0.2382        | 50.0  | 100  | 0.5663          | 0.7812   |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3