|
--- |
|
language: |
|
- ar |
|
library_name: peft |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- dalyaa/darebah2400 |
|
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 dalyaa/darebah2400 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.8345 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 1.1815 | 0.4 | 100 | 1.1010 | |
|
| 0.984 | 0.8 | 200 | 0.9893 | |
|
| 0.8706 | 1.2 | 300 | 0.9545 | |
|
| 0.8095 | 1.6 | 400 | 0.9203 | |
|
| 0.767 | 2.0 | 500 | 0.9030 | |
|
| 0.7439 | 2.4 | 600 | 0.8878 | |
|
| 0.7163 | 2.8 | 700 | 0.8716 | |
|
| 0.671 | 3.2 | 800 | 0.8679 | |
|
| 0.679 | 3.6 | 900 | 0.8587 | |
|
| 0.6585 | 4.0 | 1000 | 0.8586 | |
|
| 0.6528 | 4.4 | 1100 | 0.8535 | |
|
| 0.6238 | 4.8 | 1200 | 0.8501 | |
|
| 0.6041 | 5.2 | 1300 | 0.8434 | |
|
| 0.6011 | 5.6 | 1400 | 0.8471 | |
|
| 0.6386 | 6.0 | 1500 | 0.8379 | |
|
| 0.6288 | 6.4 | 1600 | 0.8374 | |
|
| 0.5823 | 6.8 | 1700 | 0.8409 | |
|
| 0.6074 | 7.2 | 1800 | 0.8363 | |
|
| 0.5944 | 7.6 | 1900 | 0.8367 | |
|
| 0.5918 | 8.0 | 2000 | 0.8412 | |
|
| 0.5931 | 8.4 | 2100 | 0.8343 | |
|
| 0.5624 | 8.8 | 2200 | 0.8363 | |
|
| 0.5709 | 9.2 | 2300 | 0.8354 | |
|
| 0.5783 | 9.6 | 2400 | 0.8354 | |
|
| 0.5933 | 10.0 | 2500 | 0.8345 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.8.2 |
|
- Transformers 4.38.0.dev0 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.15.1 |
