Format

README.md

@@ -12,44 +12,44 @@ language:
 
 # Fi-9B
 
-Fi-9B is an improved [Yi-9B-200K](https://huggingface.co/01-ai/Yi-9B-200K) with extensive instruction tuning on [Fusang-V1](https://huggingface.co/datasets/wenbopan/Fusang-v1). 
-
-Compare to Yi-9B-200K, Fi-9B gains greater capability at various downstream tasks and long-context modeling thanks to large-scale synthestic data in Fusang-V1.
+Fi-9B is an improved [Yi-9B-200K](https://huggingface.co/01-ai/Yi-9B-200K) with extensive instruction tuning on [Fusang-V1](https://huggingface.co/datasets/wenbopan/Fusang-v1). Compared to Yi-9B-200K, Fi-9B has gained greater capability in various downstream tasks and long-context modeling thanks to the large-scale synthetic data in Fusang-V1.
 
 ## Performance
 
-### Fact-based Evaluation
-
-Fi is competitive amongst all models at ~9B size range:
+Fi-9B enhances its ability compared to Yi-9B-200K in most dimensions, especially in long-range modeling and bilingual (English, Chinese) understanding. Fi is competitive among all open-sourced models at around 9B parameters. Fi-9B is good at both factual tasks and preferred by LLM-judges.
 
-| **Metric** | **winogrande** | **hellaswag** | **truthfulqa** | **ai2_arc** |
-| ---------- | -------------- | ------------- | -------------- | ----------- |
-| Yi-9B-200K | 0.7167 | 0.5672 | 0.3380 | 0.6925 |
-| Fi-9B-200K | 0.7111 | **0.5728** | **0.4086** | **0.7258** |
+### Fact-based Evaluation (Open LLM Leaderboard)
 
-### Long-context Modeling
+| **Metric** | **winogrande** | **hellaswag** | **truthfulqa** | **ai2_arc** |
+|-----------------|----------------|---------------|----------------|-------------|
+| **Yi-9B-200K** | 71.67 | 56.72 | 33.80 | 69.25 |
+| **Fi-9B-200K** | 71.11 | **57.28** | **40.86** | **72.58** |
 
-Fi make even further progresses than Yi-9B-200K, which is already impressive in terms of handling long-range tasks:
+### Long-context Modeling (LongBench)
 
-Results on LongBench:
+| **Name** | **Average_zh** | **Average_en** | **Code Completion** |
+|----------------|----------------|----------------|---------------------|
+| **Yi-9B-200K** | 30.288 | 36.7071 | 72.2 |
+| **Fi-9B-200K** | **41.092** | **40.9536** | 46.0 |
 
-| **Name** | **Average_zh** | **Average_en** | **Code Completion** |
-|-----------------|----------------|----------------|---------------------|
-| Yi-9B-200K | 30.288 | 36.7071 | 72.2 |
-| Fi-9B-200K | **41.092** | **40.9536** | 46.0 |
+<details>
+<summary>Score breakdown</summary>
 
-Detailed score decomposition on LongBench
+| **Name** | **Few-shot Learning_en** | **Synthetic Tasks_en** | **Single-Doc QA_en** | **Multi-Doc QA_en** | **Summarization_en** | **Few-shot Learning_zh** | **Synthetic Tasks_zh** | **Single-Doc QA_zh** | **Multi-Doc QA_zh** | **Summarization_zh** |
+|----------------|--------------------------|------------------------|----------------------|---------------------|----------------------|--------------------------|------------------------|----------------------|---------------------|----------------------|
+| **Yi-9B-200K** | 60.6 | 22.8 | 30.9 | 38.9 | 25.8 | 46.5 | 28.0 | 49.6 | 17.7 | 9.7 |
+| **Fi-9B-200K** | **63.8** | **40.2** | **36.2** | 38.0 | **26.3** | 30.0 | **75.1** | **55.6** | **30.7** | **14.1** |
 
-| **Name** | **Few-shot Learning_en** | **Synthetic Tasks_en** | **Single-Doc QA_en** | **Multi-Doc QA_en** | **Summarization_en** | **Few-shot Learning_zh** | **Synthetic Tasks_zh** | **Single-Doc QA_zh** | **Multi-Doc QA_zh** | **Summarization_zh** |
-|-----------------|--------------------------|------------------------|----------------------|---------------------|----------------------|--------------------------|------------------------|----------------------|---------------------|----------------------|
-| Yi-9B-200K | 60.6 | 22.8 | 30.9 | 38.9 | 25.8 | 46.5 | 28.0 | 49.6 | 17.7 | 9.7 |
-| Fi-9B-200K | **63.8** | **40.2** | **36.2** | 38.0 | **26.3** | 30.0 | **75.1** | **55.6** | **30.7** | **14.1** |
+</details>
 
 <!--### Performance on Preference TODO-->
 
-### Bilingual Ability
+### Bilingual Ability (CMMLU & MMLU)
 
-Coming soon...
+| **Name** | **CMMLU** |
+|----------------|-----------|
+| **Yi-9B-200K** | 71.97 |
+| **Fi-9B-200K** | 73.28 |
 
 ## How to use Fi
 
@@ -57,6 +57,5 @@ Coming soon...
 
 ## Current Limitations
 
-This version of Fi-9B may not be able to stop generation in some scenarios. I will fix that soon.
-
-Compare to the original Yi-9B-200K, Fi-9B has degraded ability for code completion. This may due to lack of raw code data during instruction tuning.
+- This version of Fi-9B may not be able to stop generation in some scenarios. I will fix that soon.
+- Compared to the original Yi-9B-200K, Fi-9B has degraded ability for code completion. This may be due to the lack of raw code data during instruction tuning.