
<!-- 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. -->

# jabalov/MARBERT-finetuned-arabic-dialects-identification

This model is a fine-tuned version of [UBC-NLP/MARBERT](https://huggingface.co/UBC-NLP/MARBERT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.4599
- Validation Loss: 1.0517
- Epoch: 0

## 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': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 64431, '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}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 1.4599     | 1.0517          | 0     |


### Framework versions

- Transformers 4.15.0
- TensorFlow 2.6.2
- Datasets 1.18.4
- Tokenizers 0.10.3

{"tags": ["generated_from_keras_callback"], "base_model": "UBC-NLP/MARBERT", "model-index": [{"name": "jabalov/MARBERT-finetuned-arabic-dialects-identification", "results": []}]}
transformers tf tensorboard bert text-classification generated_from_keras_callback base_model:UBC-NLP/MARBERT autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #tf #tensorboard #bert #text-classification #generated_from_keras_callback #base_model-UBC-NLP/MARBERT #autotrain_compatible #endpoints_compatible #region-us 

jabalov/MARBERT-finetuned-arabic-dialects-identification
========================================================


This model is a fine-tuned version of UBC-NLP/MARBERT on an unknown dataset.
It achieves the following results on the evaluation set:


* Train Loss: 1.4599
* Validation Loss: 1.0517
* Epoch: 0


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': 'Adam', 'learning\_rate': {'class\_name': 'PolynomialDecay', 'config': {'initial\_learning\_rate': 2e-05, 'decay\_steps': 64431, '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}
* training\_precision: float32


### Training results



### Framework versions


* Transformers 4.15.0
* TensorFlow 2.6.2
* Datasets 1.18.4
* Tokenizers 0.10.3



### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'Adam', 'learning\_rate': {'class\_name': 'PolynomialDecay', 'config': {'initial\_learning\_rate': 2e-05, 'decay\_steps': 64431, '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}
* training\_precision: float32 ### Training results ### Framework versions


* Transformers 4.15.0
* TensorFlow 2.6.2
* Datasets 1.18.4
* Tokenizers 0.10.3
TAGS
#transformers #tf #tensorboard #bert #text-classification #generated_from_keras_callback #base_model-UBC-NLP/MARBERT #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'Adam', 'learning\_rate': {'class\_name': 'PolynomialDecay', 'config': {'initial\_learning\_rate': 2e-05, 'decay\_steps': 64431, '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}
* training\_precision: float32 ### Training results ### Framework versions


* Transformers 4.15.0
* TensorFlow 2.6.2
* Datasets 1.18.4
* Tokenizers 0.10.3
passage: TAGS
#transformers #tf #tensorboard #bert #text-classification #generated_from_keras_callback #base_model-UBC-NLP/MARBERT #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'Adam', 'learning\_rate': {'class\_name': 'PolynomialDecay', 'config': {'initial\_learning\_rate': 2e-05, 'decay\_steps': 64431, '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}
* training\_precision: float32### Training results### Framework versions


* Transformers 4.15.0
* TensorFlow 2.6.2
* Datasets 1.18.4
* Tokenizers 0.10.3