---
license: cc-by-nc-nd-4.0
tags:
- generated_from_trainer
model-index:
- name: UNA-TheBeagle-7b-v1
  results: []
datasets:
- jondurbin/bagel-v0.3
library_name: transformers
---

# UNA-TheBeagle-7b-v1

TheBeagle, a model of 7B parameters trained on The Bagel dataset. DPO & UNA applied over a set of curated DPO Pairs.

The dataset was generated using the original bagel code, including the decontamination step.

As base model, we used the latest Intel's neural-chat model.

It performs very good in many tasks, but its always better that you play with it by yourself.

## Evaluations

Ran with VLLM so expect them to dont be exactly as the one's shown in the board, but not too far :)

```
vllm (pretrained=fblgit/UNA-TheBeagle-7b-v1,dtype=auto,tensor_parallel_size=1,gpu_memory_utilization=0.8,data_parallel_size=8,trust_remote_code=True), gen_kwargs: (None), limit: None, num_fewshot: None, batch_size: 32
|    Tasks     |Version|  Filter  |n-shot|  Metric   |Value |   |Stderr|
|--------------|-------|----------|-----:|-----------|-----:|---|-----:|
|arc_challenge |Yaml   |none      |    25|acc        |0.7090|±  |0.0133|
|              |       |none      |    25|acc_norm   |0.7329|±  |0.0129|
|gsm8k         |Yaml   |get-answer|     5|exact_match|0.7210|±  |0.0124|
|hellaswag     |Yaml   |none      |    10|acc        |0.7202|±  |0.0045|
|              |       |none      |    10|acc_norm   |0.8792|±  |0.0033|
|truthfulqa_mc2|Yaml   |none      |     0|acc        |0.7062|±  |0.0151|
|winogrande    |Yaml   |none      |     5|acc        |0.8366|±  |0.0104|
```

## UNA Details

For this release, we only applied UNA thru the perceptrons. It was done at a 3.5e-7 speed, and the training loop code is also the original one of the bagel and transformers-4.35.2-UNA

## Prompt

Im not entirely sure of it, as we used the vanilla version of the bagel training code. But a good model should be able to generalize with different prompt formats, so feel free to give it a shot.

## Citations

Remember if you use UNA's models, cite it in your model card.

## Limitations
Not for commercial use, and only for academic & research purposes.