metadata
base_model: aubmindlab/bert-base-arabertv2
tags:
- generated_from_trainer
datasets:
- arcd
model-index:
- name: rinna-AraBert-qa-ar4
results: []
rinna-AraBert-qa-ar4
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: 7.1639
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: 7e-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: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3751 | 6.88 | 150 | 3.4763 |
| 0.2526 | 13.75 | 300 | 4.7270 |
| 0.1059 | 20.63 | 450 | 5.7927 |
| 0.0604 | 27.51 | 600 | 5.6757 |
| 0.0347 | 34.38 | 750 | 6.0637 |
| 0.0163 | 41.26 | 900 | 6.3835 |
| 0.0116 | 48.14 | 1050 | 6.7934 |
| 0.0024 | 55.01 | 1200 | 6.8119 |
| 0.0021 | 61.89 | 1350 | 6.9426 |
| 0.0042 | 68.77 | 1500 | 6.8997 |
| 0.0033 | 75.64 | 1650 | 6.8969 |
| 0.0055 | 82.52 | 1800 | 7.0831 |
| 0.0012 | 89.4 | 1950 | 7.0766 |
| 0.0014 | 96.28 | 2100 | 7.1639 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3