peft safetensors phi generated_from_trainer custom_code ar dataset:dalyaa/darebah2400 base_model:dalyaff/phi2-QA-Arabic-phi region:us
---
language:
- ar
library_name: peft
tags:
- generated_from_trainer
datasets:
- dalyaa/darebah2400
base_model: dalyaff/phi2-QA-Arabic-phi
model-index:
- name: phi-2
  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. -->

# phi-2

This model is a fine-tuned version of [microsoftl](https://huggingface.co/microsoftl) on the dalyaa/darebah2400 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8341

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0567        | 0.4   | 100  | 1.0257          |
| 0.9463        | 0.8   | 200  | 0.9571          |
| 0.8397        | 1.2   | 300  | 0.9297          |
| 0.7876        | 1.6   | 400  | 0.9042          |
| 0.7484        | 2.0   | 500  | 0.8973          |
| 0.7301        | 2.4   | 600  | 0.8804          |
| 0.7023        | 2.8   | 700  | 0.8712          |
| 0.6604        | 3.2   | 800  | 0.8652          |
| 0.6727        | 3.6   | 900  | 0.8578          |
| 0.6542        | 4.0   | 1000 | 0.8549          |
| 0.6474        | 4.4   | 1100 | 0.8533          |
| 0.6208        | 4.8   | 1200 | 0.8503          |
| 0.6022        | 5.2   | 1300 | 0.8429          |
| 0.5997        | 5.6   | 1400 | 0.8488          |
| 0.6399        | 6.0   | 1500 | 0.8389          |
| 0.6273        | 6.4   | 1600 | 0.8410          |
| 0.5854        | 6.8   | 1700 | 0.8422          |
| 0.6062        | 7.2   | 1800 | 0.8360          |
| 0.5958        | 7.6   | 1900 | 0.8363          |
| 0.5933        | 8.0   | 2000 | 0.8403          |
| 0.5905        | 8.4   | 2100 | 0.8388          |
| 0.5604        | 8.8   | 2200 | 0.8366          |
| 0.572         | 9.2   | 2300 | 0.8349          |
| 0.5764        | 9.6   | 2400 | 0.8365          |
| 0.5926        | 10.0  | 2500 | 0.8341          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1