---
base_model: masakhane/African-ultrachat-alpaca
datasets:
- masakhane/african-ultrachat
- untrachat_en
- sd
inference: true
license: gemma
model-index:
- name: zephyr-7b-gemma-sft-african-ultraalpaca
  results: []
model_creator: masakhane
model_name: African-ultrachat-alpaca
pipeline_tag: text-generation
quantized_by: afrideva
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer
- gguf
- ggml
- quantized
---

# African-ultrachat-alpaca-GGUF

Quantized GGUF model files for [African-ultrachat-alpaca](https://huggingface.co/masakhane/African-ultrachat-alpaca) from [masakhane](https://huggingface.co/masakhane)

## Original Model Card:

<!-- 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. -->

# zephyr-7b-gemma-sft-african-ultraalpaca

This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) 

## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.0034        | 1.0   | 23628 | 1.0630          |
| 0.6403        | 2.0   | 47257 | 0.8788          |
| 0.2976        | 3.0   | 70884 | 0.8875          |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2