metadata
base_model: UBC-NLP/AraT5v2-base-1024
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: results2
results: []
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: 0.1770
- F1: 0.9794
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 |
|---|---|---|---|---|
| 3.0825 | 1.0 | 543 | 2.9025 | 0.1075 |
| 2.4749 | 2.0 | 1086 | 1.4022 | 0.4926 |
| 0.8659 | 3.0 | 1629 | 0.3157 | 0.8640 |
| 0.3053 | 4.0 | 2172 | 0.2107 | 0.9415 |
| 0.1425 | 5.0 | 2715 | 0.1161 | 0.9794 |
| 0.073 | 6.0 | 3258 | 0.1695 | 0.9794 |
| 0.0444 | 7.0 | 3801 | 0.1721 | 0.9794 |
| 0.0441 | 8.0 | 4344 | 0.1719 | 0.9794 |
| 0.0265 | 9.0 | 4887 | 0.1819 | 0.9794 |
| 0.0252 | 10.0 | 5430 | 0.1770 | 0.9794 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0