update.

README.md

@@ -5,7 +5,7 @@ license: apache-2.0
 <!-- 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. -->
 
-This model is a fine-tuned model for Chat based on [mosaicml/mpt-7b](https://huggingface.co/mosaicml/mpt-7b) with **max_seq_lenght=2048** on a new mix of [instruction-dataset-for-neural-chat-v1](https://huggingface.co/datasets/Intel/neural-chat-dataset-v1), [databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k), [HC3](https://huggingface.co/datasets/Hello-SimpleAI/HC3) and [oasst1](https://huggingface.co/datasets/OpenAssistant/oasst1) dataset.
+This model is a fine-tuned model for Chat based on [mosaicml/mpt-7b](https://huggingface.co/mosaicml/mpt-7b) with **max_seq_lenght=2048** on [databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k), [TigerResearch/tigerbot-alpaca-en-50k](https://huggingface.co/datasets/TigerResearch/tigerbot-alpaca-en-50k), [TigerResearch/tigerbot-gsm-8k-en](https://huggingface.co/datasets/TigerResearch/tigerbot-gsm-8k-en), [TigerResearch/tigerbot-alpaca-zh-0.5m](https://huggingface.co/datasets/TigerResearch/tigerbot-alpaca-zh-0.5m), [TigerResearch/tigerbot-stackexchange-qa-en-0.5m](https://huggingface.co/datasets/TigerResearch/tigerbot-stackexchange-qa-en-0.5m), [HC3](https://huggingface.co/datasets/Hello-SimpleAI/HC3) dataset.
 
 ## Model date
 Neural-chat-7b-v1.1 was trained between June and July 2023.
@@ -21,7 +21,11 @@ We use the same evaluation metrics as [open_llm_leaderboard](https://huggingface
 
 ### Bias evaluation
 
-We follow the blog [evaluating-llm-bias](https://huggingface.co/blog/evaluating-llm-bias) to evaluate bias in Language Models.
+Following the blog [evaluating-llm-bias](https://huggingface.co/blog/evaluating-llm-bias), we select 10000 samples randomly from [allenai/real-toxicity-prompts](https://huggingface.co/datasets/allenai/real-toxicity-prompts) to evaluate toxicity bias in Language Models
+
+| Model | Toxicity Rito ↓|
+|[mosaicml/mpt-7b](https://huggingface.co/mosaicml/mpt-7b)| 0.027 |
+| **Ours** | 0.0264 |
 
 
 ## Training procedure