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# CynthiaCR/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: 1.3846
- Validation Loss: 1.6122
- Train Accuracy: 0.2687
- 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 |
|:----------:|:---------------:|:--------------:|:-----:|
| 2.0363     | 2.0960          | 0.1            | 0     |
| 2.0822     | 2.1254          | 0.0813         | 1     |
| 1.9916     | 1.9392          | 0.2062         | 2     |
| 1.9223     | 1.8385          | 0.1688         | 3     |
| 1.8213     | 1.7294          | 0.2313         | 4     |
| 1.6940     | 1.6953          | 0.2625         | 5     |
| 1.7153     | 1.6009          | 0.3187         | 6     |
| 1.5788     | 1.6385          | 0.275          | 7     |
| 1.5359     | 1.5635          | 0.3438         | 8     |
| 1.4768     | 1.6180          | 0.325          | 9     |
| 1.4746     | 1.6063          | 0.3125         | 10    |
| 1.5163     | 1.5641          | 0.3625         | 11    |
| 1.4692     | 1.5722          | 0.3063         | 12    |
| 1.4468     | 1.7363          | 0.35           | 13    |
| 1.7116     | 1.7531          | 0.2687         | 14    |
| 1.5334     | 1.5908          | 0.2562         | 15    |
| 1.4988     | 1.5169          | 0.3312         | 16    |
| 1.4605     | 1.5041          | 0.2812         | 17    |
| 1.3545     | 1.4824          | 0.3187         | 18    |
| 1.3846     | 1.6122          | 0.2687         | 19    |


### Framework versions

- Transformers 4.29.2
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "model-index": [{"name": "CynthiaCR/emotions_classifier", "results": []}]}
transformers tf vit image-classification generated_from_keras_callback license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #tf #vit #image-classification #generated_from_keras_callback #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 

CynthiaCR/emotions\_classifier
==============================


This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:


* Train Loss: 1.3846
* Validation Loss: 1.6122
* Train Accuracy: 0.2687
* 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



### Framework versions


* Transformers 4.29.2
* TensorFlow 2.12.0
* Datasets 2.12.0
* Tokenizers 0.13.3



### 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 ### Framework versions


* Transformers 4.29.2
* TensorFlow 2.12.0
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #tf #vit #image-classification #generated_from_keras_callback #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### 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 ### Framework versions


* Transformers 4.29.2
* TensorFlow 2.12.0
* Datasets 2.12.0
* Tokenizers 0.13.3