rinna-AraBert-qa-ar3
This model is a fine-tuned version of aubmindlab/bert-base-arabertv2 on the arcd dataset. It achieves the following results on the evaluation set:
- Loss: 3.7678
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: 2e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.0074 | 6.88 | 150 | 3.1727 |
| 1.3286 | 13.75 | 300 | 3.2007 |
| 0.7605 | 20.63 | 450 | 3.5414 |
| 0.5722 | 27.51 | 600 | 3.7678 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3