| --- |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: result |
| 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. --> |
|
|
| # result |
|
|
| This model is a fine-tuned version of [salti/AraElectra-base-finetuned-ARCD](https://huggingface.co/salti/AraElectra-base-finetuned-ARCD) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1367 |
| - F1-macro: 0.9578 |
|
|
| ## 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: 8e-05 |
| - train_batch_size: 64 |
| - eval_batch_size: 128 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 4 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | F1-macro | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.7796 | 1.0 | 1467 | 0.4553 | 0.8396 | |
| | 0.3442 | 2.0 | 2934 | 0.2594 | 0.9112 | |
| | 0.1483 | 3.0 | 4401 | 0.1557 | 0.9468 | |
| | 0.0662 | 4.0 | 5868 | 0.1367 | 0.9578 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.26.1 |
| - Pytorch 1.13.0 |
| - Datasets 2.1.0 |
| - Tokenizers 0.13.2 |
| |
