|
--- |
|
base_model: UBC-NLP/MARBERT |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
- precision |
|
- recall |
|
- f1 |
|
model-index: |
|
- name: marbert-fully-supervised-arabic-propaganda |
|
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. --> |
|
|
|
# marbert-fully-supervised-arabic-propaganda |
|
|
|
This model is a fine-tuned version of [UBC-NLP/MARBERT](https://huggingface.co/UBC-NLP/MARBERT) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.0833 |
|
- Accuracy: 0.9310 |
|
- Precision: 0.65 |
|
- Recall: 0.6341 |
|
- F1: 0.6420 |
|
|
|
## 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: 3e-05 |
|
- train_batch_size: 32 |
|
- eval_batch_size: 32 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
|
| 0.0618 | 1.0 | 40 | 0.7104 | 0.9429 | 0.8696 | 0.4878 | 0.625 | |
|
| 0.0232 | 2.0 | 80 | 0.6505 | 0.9357 | 0.675 | 0.6585 | 0.6667 | |
|
| 0.1792 | 3.0 | 120 | 0.9647 | 0.9357 | 0.6842 | 0.6341 | 0.6582 | |
|
| 0.0015 | 4.0 | 160 | 1.1154 | 0.9381 | 0.7027 | 0.6341 | 0.6667 | |
|
| 0.0017 | 5.0 | 200 | 1.0833 | 0.9310 | 0.65 | 0.6341 | 0.6420 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.32.1 |
|
- Pytorch 2.1.0 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.13.3 |
|
|
