---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: microsoft/phi-2
model-index:
- name: phi2-QA-Arabic-phi
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# phi2-QA-Arabic-phi

This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/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