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Librarian Bot: Add base_model information to model (#1)
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---
tags:
- generated_from_keras_callback
base_model: UBC-NLP/MARBERT
model-index:
- name: jabalov/MARBERT-finetuned-arabic-dialects-identification
results: []
---
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# 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