Improve language tag

Hi! As the model is multilingual, this is a PR to add other languages than English to the language tag to improve the referencing. Note that 29 languages are announced in the README, but only 13 are explicitly listed. I was therefore only able to add these 13 languages.

README.md

@@ -1,128 +1,142 @@
----
-base_model:
-- Qwen/Qwen2.5-0.5B-Instruct
-datasets:
-- Augmentation-Scaling-Laws/math-seed-data
-library_name: transformers
-license: apache-2.0
-pipeline_tag: text-generation
-model-index:
-- name: ECE-Qwen0.5B-FT-V2
-  results:
-  - task:
-      type: text-generation
-      name: Text Generation
-    dataset:
-      name: IFEval (0-Shot)
-      type: HuggingFaceH4/ifeval
-      args:
-        num_few_shot: 0
-    metrics:
-    - type: inst_level_strict_acc and prompt_level_strict_acc
-      value: 25.26
-      name: strict accuracy
-    source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-Qwen0.5B-FT-V2
-      name: Open LLM Leaderboard
-  - task:
-      type: text-generation
-      name: Text Generation
-    dataset:
-      name: BBH (3-Shot)
-      type: BBH
-      args:
-        num_few_shot: 3
-    metrics:
-    - type: acc_norm
-      value: 7.63
-      name: normalized accuracy
-    source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-Qwen0.5B-FT-V2
-      name: Open LLM Leaderboard
-  - task:
-      type: text-generation
-      name: Text Generation
-    dataset:
-      name: MATH Lvl 5 (4-Shot)
-      type: hendrycks/competition_math
-      args:
-        num_few_shot: 4
-    metrics:
-    - type: exact_match
-      value: 1.21
-      name: exact match
-    source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-Qwen0.5B-FT-V2
-      name: Open LLM Leaderboard
-  - task:
-      type: text-generation
-      name: Text Generation
-    dataset:
-      name: GPQA (0-shot)
-      type: Idavidrein/gpqa
-      args:
-        num_few_shot: 0
-    metrics:
-    - type: acc_norm
-      value: 2.24
-      name: acc_norm
-    source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-Qwen0.5B-FT-V2
-      name: Open LLM Leaderboard
-  - task:
-      type: text-generation
-      name: Text Generation
-    dataset:
-      name: MuSR (0-shot)
-      type: TAUR-Lab/MuSR
-      args:
-        num_few_shot: 0
-    metrics:
-    - type: acc_norm
-      value: 0.89
-      name: acc_norm
-    source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-Qwen0.5B-FT-V2
-      name: Open LLM Leaderboard
-  - task:
-      type: text-generation
-      name: Text Generation
-    dataset:
-      name: MMLU-PRO (5-shot)
-      type: TIGER-Lab/MMLU-Pro
-      config: main
-      split: test
-      args:
-        num_few_shot: 5
-    metrics:
-    - type: acc
-      value: 7.4
-      name: accuracy
-    source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-Qwen0.5B-FT-V2
-      name: Open LLM Leaderboard
----
-
-
-### Model Description
-
-The model you’re using is based on Qwen/Qwen2.5-0.5B-Instruct, a powerful AI designed to follow instructions across a wide range of tasks. Through specialized fine-tuning, this model has been trained to become highly proficient in solving complex mathematical problems. By using a dataset specifically focused on math (Augmentation-Scaling-Laws/math-seed-data), it has gained the ability to handle advanced calculations and mathematical reasoning, making it an ideal assistant for anyone needing help with math-related tasks or challenges.
-
-- **Developed by:** Youri Lalain (@Youlln)
-- **Organization:** ECE engineering school
-
-
-
-# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
-Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Youlln__ECE-Qwen0.5B-FT-V2)
-
-|      Metric       |Value|
-|-------------------|----:|
-|Avg.               | 7.44|
-|IFEval (0-Shot)    |25.26|
-|BBH (3-Shot)       | 7.63|
-|MATH Lvl 5 (4-Shot)| 1.21|
-|GPQA (0-shot)      | 2.24|
-|MuSR (0-shot)      | 0.89|
-|MMLU-PRO (5-shot)  | 7.40|
-
+---
+base_model:
+- Qwen/Qwen2.5-0.5B-Instruct
+datasets:
+- Augmentation-Scaling-Laws/math-seed-data
+library_name: transformers
+license: apache-2.0
+pipeline_tag: text-generation
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+model-index:
+- name: ECE-Qwen0.5B-FT-V2
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 25.26
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-Qwen0.5B-FT-V2
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 7.63
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-Qwen0.5B-FT-V2
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 1.21
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-Qwen0.5B-FT-V2
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 2.24
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-Qwen0.5B-FT-V2
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 0.89
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-Qwen0.5B-FT-V2
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 7.4
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-Qwen0.5B-FT-V2
+      name: Open LLM Leaderboard
+---
+
+
+### Model Description
+
+The model you’re using is based on Qwen/Qwen2.5-0.5B-Instruct, a powerful AI designed to follow instructions across a wide range of tasks. Through specialized fine-tuning, this model has been trained to become highly proficient in solving complex mathematical problems. By using a dataset specifically focused on math (Augmentation-Scaling-Laws/math-seed-data), it has gained the ability to handle advanced calculations and mathematical reasoning, making it an ideal assistant for anyone needing help with math-related tasks or challenges.
+
+- **Developed by:** Youri Lalain (@Youlln)
+- **Organization:** ECE engineering school
+
+
+
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Youlln__ECE-Qwen0.5B-FT-V2)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               | 7.44|
+|IFEval (0-Shot)    |25.26|
+|BBH (3-Shot)       | 7.63|
+|MATH Lvl 5 (4-Shot)| 1.21|
+|GPQA (0-shot)      | 2.24|
+|MuSR (0-shot)      | 0.89|
+|MMLU-PRO (5-shot)  | 7.40|
+