---
language:
- ar
library_name: peft
tags:
- generated_from_trainer
datasets:
- dalyaff/darebah-2K
base_model: microsoft/phi-2
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 dalyaff/darebah-2K dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5861

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2333        | 0.44  | 100  | 1.1475          |
| 1.0155        | 0.89  | 200  | 0.9995          |
| 0.9331        | 1.33  | 300  | 0.9305          |
| 0.8308        | 1.78  | 400  | 0.8755          |
| 0.7955        | 2.22  | 500  | 0.8337          |
| 0.7788        | 2.67  | 600  | 0.7974          |
| 0.7205        | 3.11  | 700  | 0.7685          |
| 0.7588        | 3.56  | 800  | 0.7405          |
| 0.7154        | 4.0   | 900  | 0.7193          |
| 0.6913        | 4.44  | 1000 | 0.7022          |
| 0.6049        | 4.89  | 1100 | 0.6864          |
| 0.6546        | 5.33  | 1200 | 0.6672          |
| 0.6406        | 5.78  | 1300 | 0.6576          |
| 0.6237        | 6.22  | 1400 | 0.6433          |
| 0.6016        | 6.67  | 1500 | 0.6313          |
| 0.5746        | 7.11  | 1600 | 0.6263          |
| 0.5786        | 7.56  | 1700 | 0.6156          |
| 0.592         | 8.0   | 1800 | 0.6087          |
| 0.5908        | 8.44  | 1900 | 0.6030          |
| 0.598         | 8.89  | 2000 | 0.5980          |
| 0.5998        | 9.33  | 2100 | 0.5937          |
| 0.5859        | 9.78  | 2200 | 0.5909          |
| 0.5767        | 10.22 | 2300 | 0.5888          |
| 0.5786        | 10.67 | 2400 | 0.5872          |
| 0.5911        | 11.11 | 2500 | 0.5861          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1