---
base_model: masakhane/zephyr-7b-gemma-sft-african-ultrachat-200k
datasets:
- masakhane/african-ultrachat
- israel/untrachat_en
inference: true
license: gemma
model-index:
- name: zephyr-7b-gemma-sft-african-ultrachat-2000k
  results: []
model_creator: masakhane
model_name: zephyr-7b-gemma-sft-african-ultrachat-200k
pipeline_tag: text-generation
quantized_by: afrideva
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer
- gguf
- ggml
- quantized
---

# zephyr-7b-gemma-sft-african-ultrachat-200k-GGUF

Quantized GGUF model files for [zephyr-7b-gemma-sft-african-ultrachat-200k](https://huggingface.co/masakhane/zephyr-7b-gemma-sft-african-ultrachat-200k) 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-ultrachat-2000k

This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the masakhane/african-ultrachat and the israel/untrachat_en datasets.
It achieves the following results on the evaluation set:
- Loss: 1.1549

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.0785        | 1.0   | 17748 | 1.2602          |
| 0.6614        | 2.0   | 35496 | 1.1089          |
| 0.2983        | 3.0   | 53244 | 1.1549          |


### Framework versions

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