|
--- |
|
library_name: transformers |
|
base_model: aubmindlab/bert-base-arabertv02-twitter |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: Model4_withclasess-arabertv2_base_T2_WS_A100v2 |
|
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. --> |
|
|
|
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/so/Model4-with-add-clasess-T2-ArabertTv2-Bas-WS-A100/runs/ewc3vyii) |
|
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/so/Model4-with-add-clasess-T2-ArabertTv2-Bas-WS-A100/runs/ewc3vyii) |
|
# Model4_withclasess-arabertv2_base_T2_WS_A100v2 |
|
|
|
This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02-twitter](https://huggingface.co/aubmindlab/bert-base-arabertv02-twitter) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0602 |
|
- F1-micro: 0.8238 |
|
- Roc Auc: 0.8998 |
|
- Accuracy: 0.7891 |
|
|
|
## 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: 16 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
- lr_scheduler_type: linear |
|
- num_epochs: 15 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | F1-micro | Roc Auc | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------:|:--------:| |
|
| 0.0282 | 1.0 | 507 | 0.0602 | 0.8238 | 0.8998 | 0.7891 | |
|
| 0.0169 | 2.0 | 1014 | 0.0640 | 0.8215 | 0.8973 | 0.7765 | |
|
| 0.0163 | 3.0 | 1521 | 0.0669 | 0.8178 | 0.8949 | 0.7716 | |
|
| 0.0102 | 4.0 | 2028 | 0.0731 | 0.8190 | 0.9019 | 0.7877 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.46.3 |
|
- Pytorch 2.5.1+cu121 |
|
- Datasets 3.2.0 |
|
- Tokenizers 0.20.3 |
|
|
