results2
This model is a fine-tuned version of UBC-NLP/AraT5v2-base-1024 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1539
- F1: 0.9682
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: 4
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 3.1612 | 1.0 | 574 | 2.9806 | 0.0625 |
| 2.7788 | 2.0 | 1148 | 1.6246 | 0.4172 |
| 1.0397 | 3.0 | 1722 | 0.3903 | 0.8539 |
| 0.3532 | 4.0 | 2296 | 0.2816 | 0.9261 |
| 0.1624 | 5.0 | 2870 | 0.2199 | 0.9512 |
| 0.0984 | 6.0 | 3444 | 0.1321 | 0.9720 |
| 0.0581 | 7.0 | 4018 | 0.1576 | 0.9682 |
| 0.0369 | 8.0 | 4592 | 0.1243 | 0.9760 |
| 0.0351 | 9.0 | 5166 | 0.1539 | 0.9721 |
| 0.0338 | 10.0 | 5740 | 0.1539 | 0.9682 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0
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Base model
UBC-NLP/AraT5v2-base-1024