---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- image-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: test-hasy-6
  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. -->

# test-hasy-6

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 HASY dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6506
- Accuracy: 0.8025

## 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: 8
- eval_batch_size: 8
- seed: 1787
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 3.0857        | 1.0   | 541   | 2.4484          | 0.5572   |
| 2.3006        | 2.0   | 1082  | 2.1588          | 0.5904   |
| 2.4406        | 3.0   | 1623  | 1.8879          | 0.6445   |
| 2.342         | 4.0   | 2164  | 1.7122          | 0.6674   |
| 2.1852        | 5.0   | 2705  | 1.5467          | 0.6923   |
| 1.9535        | 6.0   | 3246  | 1.4113          | 0.7048   |
| 1.9061        | 7.0   | 3787  | 1.3136          | 0.6881   |
| 1.5934        | 8.0   | 4328  | 1.2059          | 0.7089   |
| 1.8755        | 9.0   | 4869  | 1.1638          | 0.7173   |
| 1.6319        | 10.0  | 5410  | 1.1024          | 0.7235   |
| 1.5899        | 11.0  | 5951  | 1.0375          | 0.7339   |
| 1.6427        | 12.0  | 6492  | 0.9656          | 0.7526   |
| 1.8022        | 13.0  | 7033  | 0.9760          | 0.7422   |
| 1.7161        | 14.0  | 7574  | 0.8952          | 0.7609   |
| 1.2123        | 15.0  | 8115  | 0.8750          | 0.7692   |
| 1.5721        | 16.0  | 8656  | 0.8586          | 0.7755   |
| 1.7482        | 17.0  | 9197  | 0.8279          | 0.7755   |
| 1.5992        | 18.0  | 9738  | 0.8321          | 0.7547   |
| 1.8179        | 19.0  | 10279 | 0.7898          | 0.7817   |
| 1.2744        | 20.0  | 10820 | 0.7984          | 0.7672   |
| 1.2221        | 21.0  | 11361 | 0.7757          | 0.7734   |
| 1.4893        | 22.0  | 11902 | 0.7512          | 0.7817   |
| 1.5184        | 23.0  | 12443 | 0.7512          | 0.7817   |
| 1.6562        | 24.0  | 12984 | 0.7514          | 0.7796   |
| 1.4148        | 25.0  | 13525 | 0.7241          | 0.7817   |
| 1.2765        | 26.0  | 14066 | 0.6907          | 0.8046   |
| 1.3378        | 27.0  | 14607 | 0.7132          | 0.7900   |
| 1.5446        | 28.0  | 15148 | 0.6973          | 0.7963   |
| 1.1969        | 29.0  | 15689 | 0.7010          | 0.7921   |
| 1.3721        | 30.0  | 16230 | 0.6928          | 0.8004   |
| 1.4051        | 31.0  | 16771 | 0.6976          | 0.7921   |
| 1.1004        | 32.0  | 17312 | 0.6785          | 0.8004   |
| 1.2668        | 33.0  | 17853 | 0.6883          | 0.7817   |
| 1.0728        | 34.0  | 18394 | 0.6924          | 0.7859   |
| 1.1856        | 35.0  | 18935 | 0.6840          | 0.7921   |
| 1.2387        | 36.0  | 19476 | 0.6739          | 0.8025   |
| 1.5242        | 37.0  | 20017 | 0.6554          | 0.7963   |
| 1.351         | 38.0  | 20558 | 0.6736          | 0.7942   |
| 1.2441        | 39.0  | 21099 | 0.6659          | 0.8046   |
| 1.2113        | 40.0  | 21640 | 0.6709          | 0.7983   |
| 1.1608        | 41.0  | 22181 | 0.6630          | 0.7983   |
| 1.266         | 42.0  | 22722 | 0.6693          | 0.8004   |
| 0.9426        | 43.0  | 23263 | 0.6639          | 0.8046   |
| 1.0066        | 44.0  | 23804 | 0.6636          | 0.8025   |
| 1.0856        | 45.0  | 24345 | 0.6530          | 0.8004   |
| 1.0128        | 46.0  | 24886 | 0.6506          | 0.8025   |
| 1.0369        | 47.0  | 25427 | 0.6617          | 0.8025   |
| 1.1458        | 48.0  | 25968 | 0.6546          | 0.8004   |
| 1.0696        | 49.0  | 26509 | 0.6597          | 0.7942   |
| 1.2227        | 50.0  | 27050 | 0.6566          | 0.7942   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2