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Update bamba.md - Safety results #2

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Expand Up @@ -100,16 +100,19 @@ We compare Bamba and Falcon Mamba with SoTA transformer models of similar size (

### Safety tasks

Safety benchmarks are crucial for ensuring AI models generate content that is ethical, inclusive, and non-harmful. We evaluate our model on well known safety benchmarks such as Toxigen (5-shot, logits) (focused on detecting toxic language), BBQ (5-shot, generation), PopQA (5-shot, generation), and Ethos (which measures bias and fairness). These benchmarks help us identify and mitigate harmful outputs, ensuring the model avoids generating offensive or discriminatory content. We intend to fix the gaps in safety through comprehensive SFT and DPO approaches.

| Model | PopQA | Toxigen | BBQ |
| :---- | :---- | :---- | :---- |
| [Bamba 9B](https://huggingface.co/ibm-fms/Bamba-9B) | 20.5 | 57.4 | 44.2 |
| [Olmo2 7B](https://huggingface.co/allenai/OLMo-2-1124-7B) | 25.7 | 63.1 | 58.4 |
| [Gemma2 9B](https://huggingface.co/google/gemma-2-9b) | 27.3 | 69.6 | 59.9 |
| [IBM Granite v3 8B](https://huggingface.co/ibm-granite/granite-3.0-8b-base) | 27.5 | 79.9 | 82.1 |
| [Meta Llama 3.1 8B](https://huggingface.co/meta-llama/Llama-3.1-8B) | 28.8 | 67 | 60 |
| [Falcon Mamba 7B](https://huggingface.co/tiiuae/falcon-mamba-7b) | 19.3 | 62.1 | 60.2 |
Safety benchmarks are crucial for ensuring AI models generate content that is ethical, inclusive, and non-harmful. We evaluate our model on well known safety benchmarks such as Toxigen (5-shot, logits) (focused on detecting toxic language), BBQ (5-shot, generation), PopQA (5-shot, generation), and CrowS-Pairs (which measures bias and fairness). We intend to fix the gaps in safety through comprehensive SFT and DPO approaches.

| Model | PopQA | Toxigen | BBQ | Crow-SPairs* |

| :---- | :---- | :---- | :---- | :---- |
| [Bamba 9B](https://huggingface.co/ibm-fms/Bamba-9B) | 20.5 | 57.4 | 44.2 | 70.7 |
| [Olmo2 7B](https://huggingface.co/allenai/OLMo-2-1124-7B) | 25.7 | 63.1 | 58.4 | 72 |
| [Gemma2 9B](https://huggingface.co/google/gemma-2-9b) | 27.3 | 69.6 | 59.9 | 71.7 |
| [IBM Granite v3 8B](https://huggingface.co/ibm-granite/granite-3.0-8b-base) | 27.5 | 79.9 | 82.1 | 75 |
| [Meta Llama 3.1 8B](https://huggingface.co/meta-llama/Llama-3.1-8B) | 28.8 | 67 | 60 | 70.8 |
| [Falcon Mamba 7B](https://huggingface.co/tiiuae/falcon-mamba-7b) | 19.3 | 62.1 | 60.2 | 75 |

*Lower is better

## Comparison with transformers with similar token budget

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