phi2-QA-Arabic-phi
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7778
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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 2500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1134 | 0.89 | 100 | 1.0092 |
| 0.8768 | 1.78 | 200 | 0.8800 |
| 0.7644 | 2.67 | 300 | 0.8329 |
| 0.7516 | 3.56 | 400 | 0.8081 |
| 0.6618 | 4.44 | 500 | 0.7909 |
| 0.6373 | 5.33 | 600 | 0.7845 |
| 0.6154 | 6.22 | 700 | 0.7688 |
| 0.6056 | 7.11 | 800 | 0.7716 |
| 0.5719 | 8.0 | 900 | 0.7662 |
| 0.5575 | 8.89 | 1000 | 0.7700 |
| 0.5302 | 9.78 | 1100 | 0.7689 |
| 0.5465 | 10.67 | 1200 | 0.7688 |
| 0.5321 | 11.56 | 1300 | 0.7719 |
| 0.5141 | 12.44 | 1400 | 0.7684 |
| 0.5033 | 13.33 | 1500 | 0.7716 |
| 0.4931 | 14.22 | 1600 | 0.7664 |
| 0.4882 | 15.11 | 1700 | 0.7739 |
| 0.4742 | 16.0 | 1800 | 0.7757 |
| 0.4701 | 16.89 | 1900 | 0.7717 |
| 0.4932 | 17.78 | 2000 | 0.7748 |
| 0.4665 | 18.67 | 2100 | 0.7734 |
| 0.4614 | 19.56 | 2200 | 0.7809 |
| 0.4669 | 20.44 | 2300 | 0.7793 |
| 0.4635 | 21.33 | 2400 | 0.7750 |
| 0.452 | 22.22 | 2500 | 0.7778 |
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0