---
library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: emotion_classification
  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. -->

# emotion_classification

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: 1.3105
- Accuracy: 0.5188

## 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: 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.0819        | 1.0   | 10   | 2.0549          | 0.2375   |
| 2.0249        | 2.0   | 20   | 1.9696          | 0.3625   |
| 1.8988        | 3.0   | 30   | 1.8123          | 0.3937   |
| 1.7331        | 4.0   | 40   | 1.6707          | 0.4375   |
| 1.5894        | 5.0   | 50   | 1.5504          | 0.4938   |
| 1.4997        | 6.0   | 60   | 1.4963          | 0.5188   |
| 1.424         | 7.0   | 70   | 1.4749          | 0.4688   |
| 1.3576        | 8.0   | 80   | 1.4223          | 0.5125   |
| 1.2986        | 9.0   | 90   | 1.3850          | 0.5312   |
| 1.2358        | 10.0  | 100  | 1.3588          | 0.5375   |
| 1.2052        | 11.0  | 110  | 1.3226          | 0.55     |
| 1.1699        | 12.0  | 120  | 1.3446          | 0.525    |
| 1.1334        | 13.0  | 130  | 1.3223          | 0.525    |
| 1.1178        | 14.0  | 140  | 1.3089          | 0.575    |
| 1.1062        | 15.0  | 150  | 1.2776          | 0.5625   |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Tokenizers 0.20.3