res
This model is a fine-tuned version of salti/AraElectra-base-finetuned-ARCD on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1732
- F1-macro: 0.6754
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: 40
- eval_batch_size: 80
- 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: 7
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1-macro |
|---|---|---|---|---|
| No log | 1.0 | 229 | 0.5144 | 0.2375 |
| No log | 2.0 | 458 | 0.2974 | 0.3838 |
| 0.7175 | 3.0 | 687 | 0.2268 | 0.6071 |
| 0.7175 | 4.0 | 916 | 0.2206 | 0.5803 |
| 0.2536 | 5.0 | 1145 | 0.1816 | 0.6773 |
| 0.2536 | 6.0 | 1374 | 0.1713 | 0.6893 |
| 0.1932 | 7.0 | 1603 | 0.1695 | 0.6832 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
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