---
language:
- ar
library_name: peft
tags:
- generated_from_trainer
datasets:
- dalyaff/darebah
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 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7781

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1114        | 0.89  | 100  | 1.0073          |
| 0.8772        | 1.78  | 200  | 0.8791          |
| 0.7638        | 2.67  | 300  | 0.8327          |
| 0.7518        | 3.56  | 400  | 0.8077          |
| 0.6624        | 4.44  | 500  | 0.7896          |
| 0.6386        | 5.33  | 600  | 0.7826          |
| 0.6161        | 6.22  | 700  | 0.7677          |
| 0.6053        | 7.11  | 800  | 0.7669          |
| 0.5725        | 8.0   | 900  | 0.7640          |
| 0.5569        | 8.89  | 1000 | 0.7705          |
| 0.5303        | 9.78  | 1100 | 0.7691          |
| 0.546         | 10.67 | 1200 | 0.7671          |
| 0.5331        | 11.56 | 1300 | 0.7696          |
| 0.5142        | 12.44 | 1400 | 0.7670          |
| 0.5037        | 13.33 | 1500 | 0.7713          |
| 0.4938        | 14.22 | 1600 | 0.7686          |
| 0.4879        | 15.11 | 1700 | 0.7733          |
| 0.4743        | 16.0  | 1800 | 0.7730          |
| 0.4705        | 16.89 | 1900 | 0.7739          |
| 0.4942        | 17.78 | 2000 | 0.7770          |
| 0.4669        | 18.67 | 2100 | 0.7709          |
| 0.462         | 19.56 | 2200 | 0.7788          |
| 0.4667        | 20.44 | 2300 | 0.7783          |
| 0.4638        | 21.33 | 2400 | 0.7754          |
| 0.4512        | 22.22 | 2500 | 0.7781          |


### 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