---
language:
- hi
- en
license: apache-2.0
base_model: teknium/OpenHermes-2.5
model-index:
- name: open-aditi-hi-v2
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge (25-Shot)
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: acc_norm
      value: 59.39
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=manishiitg/open-aditi-hi-v2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag (10-Shot)
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc_norm
      value: 82.01
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=manishiitg/open-aditi-hi-v2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU (5-Shot)
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 61.41
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=manishiitg/open-aditi-hi-v2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA (0-shot)
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
    - type: mc2
      value: 45.84
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=manishiitg/open-aditi-hi-v2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande (5-shot)
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 77.19
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=manishiitg/open-aditi-hi-v2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k (5-shot)
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 30.02
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=manishiitg/open-aditi-hi-v2
      name: Open LLM Leaderboard
---


Model trained on Hindi and English data.

Try it out: https://colab.research.google.com/drive/1A_hbsq1vrCeAh3dEMvtwxxNxcNZ1BUyW?usp=sharing

For sample responose on different prompts checkout: https://github.com/manishiitg/hi-llm-eval


#### Language Hi

| Model | implicit_hate | flores | indicwikibio | hellaswag-indic | truthfulqa-hi | boolq-hi | indicheadline | indic-arc-easy | indicqa | indic-arc-challenge | indicsentiment | xlsum-hi | indicxparaphrase | mmlu_hi |  
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | 
| open-aditi-hi-v2 |  11.5021 | 43.6822 | 0.4846 | 0.2404 | 0.6934 | 0.8541 | 0.4565 | 0.4979 | 0.0795 | 0.4462 | 0.9729 | 0.4213 | 0.6838 | 0.3253 |
| OpenHermes-2.5-Mistral-7B |  0.2068 | 30.3465 | 0.3332 | 0.2485 | 0.3234 | 0.5979 | 0.1996 | 0.3523 | 0.2721 | 0.3396 | 0.9048 | 0.1774 | 0.8766 | 0.2769 |
| open-aditi-hi-v1 |  8.6105 | 40.2376 | 0.4104 | 0.0848 | 0.4230 | 0.3758 | 0.4248 | 0.3889 | 0.1306 | 0.3558 | 0.8798 | 0.4212 | 0.5939 | 0.1398 |
| Airavata |  0.0663 | 58.0555 | 0.0637 | 0.0254 | 0.2122 | 0.0373 | 0.4346 | 0.1128 | 0.1008 | 0.0836 | 0.8437 | 0.4650 | 0.3277 | 0.1336 |

#### Language En

| Model | boolq | hellaswag | mmlu | truthfulqa | xlsum | arc-easy-exact | arc-challenge |  
| --- | --- | --- | --- | --- | --- | --- | --- | 
| OpenHermes-2.5-Mistral-7B |  0.4061 | 0.7999 | 0.5991 | 0.2081 | 0.4328 | 0.8687 | 0.7790 |
| open-aditi-hi-v2 |  0.3982 | 0.4738 | 0.5544 | 0.2999 | 0.4349 | 0.8388 | 0.7235 |
| open-aditi-hi-v1 |  0.0434 | 0.3509 | 0.2597 | 0.3317 | 0.4288 | 0.7588 | 0.6271 |
| Airavata |  0.0437 | 0.0277 | 0.1165 | 0.3586 | 0.4393 | 0.2534 | 0.1630 |

Task: flores Metric: chrf 

Task: implicit_hate Metric: chrf 

Task: indicsentiment Metric: accuracy 

Task: indicxparaphrase Metric: accuracy 

Task: boolq-hi Metric: accuracy 

Task: truthfulqa-hi Metric: accuracy 

Task: indic-arc-easy Metric: accuracy 

Task: indicwikibio Metric: bleurt 

Task: xlsum-hi Metric: bleurt 

Task: indicheadline Metric: bleurt 

Task: indic-arc-challenge Metric: accuracy 

Task: mmlu_hi Metric: average_acc 

Task: indicqa Metric: accuracy 

Task: hellaswag-indic Metric: accuracy 

Task: arc-easy-exact Metric: accuracy 

Task: hellaswag Metric: accuracy 

Task: arc-challenge Metric: accuracy 

Task: mmlu Metric: average_acc 

Task: xlsum Metric: bleurt 

Task: boolq Metric: accuracy 

Task: truthfulqa Metric: accuracy 




Model evaluation on OpenLLM LeaderBoard

![image/png](https://cdn-uploads.huggingface.co/production/uploads/5dfae476da6d0311fd3d5432/ENzZwV2Z98uNlpyUz3Blp.png)

![image/png](https://cdn-uploads.huggingface.co/production/uploads/5dfae476da6d0311fd3d5432/SpSiu5lzA6JKJx8ICX_zd.png)




# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_manishiitg__open-aditi-hi-v2)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |59.31|
|AI2 Reasoning Challenge (25-Shot)|59.39|
|HellaSwag (10-Shot)              |82.01|
|MMLU (5-Shot)                    |61.41|
|TruthfulQA (0-shot)              |45.84|
|Winogrande (5-shot)              |77.19|
|GSM8k (5-shot)                   |30.02|