bert-base-arabic-emotion-analysis-v3
This model is a fine-tuned version of asafaya/bert-base-arabic on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5940
- Accuracy: 0.7928
- F1: 0.7932
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 |
|---|---|---|---|---|---|
| 0.9993 | 1.0 | 102 | 0.6655 | 0.7528 | 0.7510 |
| 0.5781 | 2.0 | 204 | 0.6018 | 0.7721 | 0.7720 |
| 0.4441 | 3.0 | 306 | 0.5940 | 0.7928 | 0.7932 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for alpcansoydas/bert-base-arabic-emotion-analysis-v3
Base model
asafaya/bert-base-arabic