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---
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 |