---
license: llama2
base_model: Photolens/llama-2-7b-langchain-chat
tags:
- generated_from_trainer
model-index:
- name: assistant-llama2-7b-chat
  results: []
datasets:
- wasertech/OneOS
---

<!-- 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. -->

# assistant-llama2-7b-chat

This model is a fine-tuned version of [Photolens/llama-2-7b-langchain-chat](https://huggingface.co/Photolens/llama-2-7b-langchain-chat) on the OneOS dataset.

## 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: 1.41e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

Model is able to mostly answer to complexe queries given its output is parsed propely (accounting for hallucinations).

For more information look at the [Prompt Example Section](#prompt-example)

### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3


# Training Report

https://wandb.ai/wasertech/huggingface/reports/Llama2-langchain-chat-fine-tune--Vmlldzo1NTQ2OTAy

# Prompt Example

The above link leads to a conversation log between [Assistant using this model](https://gitlab.com/waser-technologies/technologies/assistant/-/merge_requests/3/diffs?commit_id=e17a80de631686f7fe94c5ca136214be73bafd8a) and me.

https://gist.github.com/wasertech/342cd167ba78060336b3328e9eea0eca