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---
base_model: asafaya/bert-base-arabic
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert-base-arabic-emotion-analysis-v2
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. -->
# bert-base-arabic-emotion-analysis-v2
This model is a fine-tuned version of [asafaya/bert-base-arabic](https://huggingface.co/asafaya/bert-base-arabic) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6114
- Accuracy: 0.7831
- F1: 0.7817
## 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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.9789 | 1.0 | 102 | 0.6821 | 0.7652 | 0.7632 |
| 0.5489 | 2.0 | 204 | 0.6261 | 0.7762 | 0.7734 |
| 0.4239 | 3.0 | 306 | 0.6114 | 0.7831 | 0.7817 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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