---
license: mit
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: microsoft/phi-1_5
model-index:
- name: train_2024-05-09-19-57-19
  results: []
datasets:
- llamafactory/alpaca_en
language:
- en
---


# Bahia 1.0 Based on Phi 1.5 tuned using Alpaca_en

This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the alpaca_en dataset.

## Model description

This is the First LLM coming from the Mediterranean city of Oran (nicknamed El-Bahia), and possibly the first North African LLM trained model, More to come from us soon ;-)

## Intended uses & limitations

This comes under an MIT lisence, enjoy!

## Training and evaluation data

Trained using Alpaca_en from Llama Factory 

## Training procedure

Locally trained on baremetal hardware on an AMD GPU under Linux Mint 21

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results

Please check the files in the files and versions.

### Framework versions

- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.3.0+rocm5.7
- Datasets 2.19.1
- Tokenizers 0.19.1