---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_keras_callback
model-index:
- name: Akhil123/emotions_classifier
  results: []
---

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

# Akhil123/emotions_classifier

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:
- Train Loss: 2.0827
- Validation Loss: 2.0793
- Train Accuracy: 0.1437
- Epoch: 19

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0003, 'decay_steps': 12800, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 1.9720     | 1.6874          | 0.225          | 0     |
| 2.0874     | 2.0802          | 0.125          | 1     |
| 2.0744     | 2.0407          | 0.2313         | 2     |
| 2.0540     | 2.0760          | 0.1688         | 3     |
| 2.1039     | 2.0796          | 0.1125         | 4     |
| 2.0813     | 2.0794          | 0.1187         | 5     |
| 2.0802     | 2.0797          | 0.1187         | 6     |
| 2.0793     | 2.0790          | 0.125          | 7     |
| 2.0657     | 2.0128          | 0.2            | 8     |
| 2.0724     | 2.0920          | 0.125          | 9     |
| 2.0896     | 2.0744          | 0.1187         | 10    |
| 2.0844     | 2.0824          | 0.1187         | 11    |
| 2.0819     | 2.0755          | 0.125          | 12    |
| 2.0614     | 2.0392          | 0.1562         | 13    |
| 2.0676     | 2.0812          | 0.1187         | 14    |
| 2.0810     | 2.0792          | 0.1187         | 15    |
| 2.0826     | 2.0813          | 0.1187         | 16    |
| 2.0788     | 2.0770          | 0.15           | 17    |
| 2.0797     | 2.0733          | 0.125          | 18    |
| 2.0827     | 2.0793          | 0.1437         | 19    |


### Framework versions

- Transformers 4.31.0
- TensorFlow 2.12.0
- Datasets 2.14.4
- Tokenizers 0.13.3