metadata
base_model: aubmindlab/bert-base-arabertv02-twitter
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: arabert-fully-supervised-arabic-propaganda
results: []
arabert-fully-supervised-arabic-propaganda
This model is a fine-tuned version of aubmindlab/bert-base-arabertv02-twitter on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4417
- Accuracy: 0.9167
- Precision: 0.5577
- Recall: 0.7073
- F1: 0.6237
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
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
---|---|---|---|---|---|---|---|
0.5249 | 1.0 | 20 | 0.4933 | 0.7714 | 0.2901 | 0.9268 | 0.4419 |
0.303 | 2.0 | 40 | 0.3490 | 0.8571 | 0.3933 | 0.8537 | 0.5385 |
0.1552 | 3.0 | 60 | 0.3830 | 0.9048 | 0.5085 | 0.7317 | 0.6 |
0.1411 | 4.0 | 80 | 0.4215 | 0.9143 | 0.5455 | 0.7317 | 0.6250 |
0.1359 | 5.0 | 100 | 0.4417 | 0.9167 | 0.5577 | 0.7073 | 0.6237 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1