metadata
base_model: asafaya/bert-base-arabic
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert-base-arabic-emotion-analysis-v2
results: []
bert-base-arabic-emotion-analysis-v2
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: 0.6073
- Accuracy: 0.7804
- F1: 0.7804
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 |
|---|---|---|---|---|---|
| 1.0627 | 1.0 | 102 | 0.6845 | 0.7486 | 0.7450 |
| 0.5835 | 2.0 | 204 | 0.6166 | 0.7749 | 0.7744 |
| 0.4549 | 3.0 | 306 | 0.6073 | 0.7804 | 0.7804 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0