---
license: apache-2.0
datasets:
- allenai/dolma
- allenai/tulu-v2-sft-mixture-olmo-4096
- argilla/ultrafeedback-binarized-preferences-cleaned
language:
- en
---
# OLMo-1B-0724 Instruct

This is a version of [OLMo-1B-0724-hf](https://huggingface.co/allenai/OLMo-1B-0724-hf) that has undergone SFT and DPO training.
See [the SFT model card for details on SFT training](https://huggingface.co/hamishivi/OLMo-1B-0724-SFT-hf).

This model is initialised from [OLMo-1B-0724-SFT-hf](https://huggingface.co/hamishivi/OLMo-1B-0724-SFT-hf), and then DPO trained on a cleaned ultrafeedback dataset
for 3 epochs with a batch size of 32, beta of 0.1, linear warmup for 10% of training, and then linear cooldown.

Evals are as follows:

| Metric                    | [OLMo-1B-0724-hf](https://huggingface.co/allenai/OLMo-1B-0724-hf) | [OLMo-1B-0724-SFT-hf](https://huggingface.co/hamishivi/OLMo-1B-0724-SFT-hf) | **[OLMo-1B-0724-Instruct-hf](https://huggingface.co/hamishivi/OLMo-1B-0724-Instruct-hf) (this model!)** |
|---------------------------|-----------------|---------------------|-------------------------|
| MMLU 0-shot               | 25.0            | 36.0                | **36.7**                    |
| GSM8k CoT 8-shot          | 7.0             | **12.5**                | **12.5**                    |
| BBH CoT 3-shot            | 22.5            | 27.2                | **30.6**                    |
| HumanEval P@10            | 16.0            | 21.2                | **22.0**                    |
| AlpacaEval 1              | -               | 41.5                | **50.9**                    |
| AlpacaEval 2 LC           | -               | **2.7**                 | 2.5                     |
| Toxigen % Toxic           | 80.3            | 59.7                | **14.1**                    |
| TruthfulQA %Info+True     | 23.0            | 40.9                | **42.2**                    |
| IFEval Loose Acc          | 20.5            | **26.1**                | 24.2                    |
| XSTest F1                 | 67.6            | **81.9**                | 79.8                    |
| **Average of above metrics**                   | 25.2            | 33.0                | **38.7**                    |


Model training and evaluation was performed using [Open-instruct](https://github.com/allenai/open-instruct), so check that out for more details on evaluation.