|
|
--- |
|
|
base_model: aubmindlab/bert-base-arabertv02 |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- accuracy |
|
|
model-index: |
|
|
- name: bert_13_levels |
|
|
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_13_levels |
|
|
|
|
|
This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 1.3439 |
|
|
- Macro F1: 0.5121 |
|
|
- Macro Precision: 0.4957 |
|
|
- Macro Recall: 0.5371 |
|
|
- Accuracy: 0.6763 |
|
|
|
|
|
## 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: 5e-05 |
|
|
- train_batch_size: 64 |
|
|
- eval_batch_size: 16 |
|
|
- seed: 42 |
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
|
- lr_scheduler_type: linear |
|
|
- num_epochs: 6 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Macro F1 | Macro Precision | Macro Recall | Accuracy | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:--------:| |
|
|
| 1.1416 | 1.0 | 821 | 0.8787 | 0.5043 | 0.4933 | 0.5272 | 0.6984 | |
|
|
| 0.7613 | 2.0 | 1642 | 0.8876 | 0.5004 | 0.5194 | 0.5160 | 0.6938 | |
|
|
| 0.6042 | 3.0 | 2463 | 0.9361 | 0.5274 | 0.5010 | 0.5652 | 0.6936 | |
|
|
| 0.3808 | 4.0 | 3284 | 1.0780 | 0.5251 | 0.5128 | 0.5523 | 0.6847 | |
|
|
| 0.2474 | 5.0 | 4105 | 1.2235 | 0.5181 | 0.4991 | 0.5468 | 0.6858 | |
|
|
| 0.1856 | 6.0 | 4926 | 1.3439 | 0.5121 | 0.4957 | 0.5371 | 0.6763 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.43.4 |
|
|
- Pytorch 2.6.0+cu124 |
|
|
- Datasets 3.4.1 |
|
|
- Tokenizers 0.19.1 |
|
|
|
