README.md

---
language:
- hi
- en
license: apache-2.0
base_model: teknium/OpenHermes-2.5
model-index:
- name: open-aditi-hi-v4
  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: 60.15
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=manishiitg/open-aditi-hi-v4
      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: 81.84
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=manishiitg/open-aditi-hi-v4
      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: 61.32
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=manishiitg/open-aditi-hi-v4
      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: 44.89
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=manishiitg/open-aditi-hi-v4
      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: 79.95
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=manishiitg/open-aditi-hi-v4
      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: 57.24
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=manishiitg/open-aditi-hi-v4
      name: Open LLM Leaderboard
---


Model trained on Hindi and English data.

This model also includes dataset https://huggingface.co/datasets/sarvamai/samvaad-hi-v1

Check latest evals at https://github.com/manishiitg/IndicEval


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 | xlsum-hi | truthfulqa-hi | indic-arc-easy | mmlu_hi | indicqa | flores | indicheadline | indicxparaphrase | hellaswag-indic | indicwikibio | boolq-hi | implicit_hate | indic-arc-challenge | indicsentiment |  
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | 
| open-aditi-hi-v2 |  0.4213 | 0.6934 | 0.4979 | 0.3253 | 0.0795 | 43.6822 | 0.4565 | 0.6838 | 0.2404 | 0.4846 | 0.8541 | 11.5021 | 0.4462 | 0.9729 |
| open-aditi-hi-v3 |  0.4490 | 0.5369 | 0.5480 | 0.1351 | 0.0058 | 48.2859 | 0.4682 | 0.8846 | 0.4891 | 0.5034 | 0.5401 | 8.8315 | 0.4633 | 0.9519 |
| open-aditi-hi-v4 |  0.4046 | 0.7671 | 0.4529 | 0.2124 | 0.0026 | 47.8500 | 0.1980 | 0.7737 | 0.3595 | 0.4894 | 0.7015 | 5.9709 | 0.3857 | 0.9699 |
| OpenHermes-2.5-Mistral-7B |  0.1774 | 0.3234 | 0.3523 | 0.2769 | 0.2721 | 30.3465 | 0.1996 | 0.8766 | 0.2485 | 0.3332 | 0.5979 | 0.2068 | 0.3396 | 0.9048 |
| OpenHermes-2.5-Mistral-7B-AWQ |  0.1894 | 0.3428 | 0.3291 | 0.2750 | 0.3116 | 29.3681 | 0.2062 | 0.8536 | 0.2479 | 0.3067 | 0.5272 | 6.0594 | 0.3157 | 0.9218 |
| open-aditi-hi-v1 |  0.4212 | 0.4230 | 0.3889 | 0.1398 | 0.1306 | 40.2376 | 0.4248 | 0.5939 | 0.0848 | 0.4104 | 0.3758 | 8.6105 | 0.3558 | 0.8798 |
| Airavata |  0.4650 | 0.0466 | 0.1128 | 0.1336 | 0.0155 | 58.5260 | 0.4346 | 0.6419 | 0.0550 | 0.0637 | 0.0128 | 6.3612 | 0.0836 | 0.0992 |

#### Language En

| Model | boolq | truthfulqa | arc-easy-exact | mmlu | hellaswag | xlsum | arc-challenge |  
| --- | --- | --- | --- | --- | --- | --- | --- | 
| open-aditi-hi-v4 |  0.3905 | 0.3378 | 0.8460 | 0.5725 | 0.7603 | 0.4384 | 0.7491 |
| OpenHermes-2.5-Mistral-7B |  0.4061 | 0.2081 | 0.8687 | 0.5991 | 0.7999 | 0.4328 | 0.7790 |
| OpenHermes-2.5-Mistral-7B-AWQ |  0.4199 | 0.1897 | 0.8569 | 0.5816 | 0.7826 | 0.4317 | 0.7611 |
| open-aditi-hi-v3 |  0.3749 | 0.3097 | 0.8384 | 0.5478 | 0.7645 | 0.4352 | 0.7415 |
| open-aditi-hi-v2 |  0.3982 | 0.2999 | 0.8388 | 0.5544 | 0.4738 | 0.4349 | 0.7235 |
| open-aditi-hi-v1 |  0.0434 | 0.3317 | 0.7588 | 0.2597 | 0.3509 | 0.4288 | 0.6271 |
| Airavata |  0.5086 | 0.3574 | 0.6772 | 0.1165 | 0.1799 | 0.4393 | 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: hellaswag-indic Metric: accuracy 

Task: indicheadline Metric: bleurt 

Task: xlsum-hi Metric: bleurt 

Task: indic-arc-challenge Metric: accuracy 

Task: mmlu_hi Metric: average_acc 

Task: indicqa Metric: accuracy 

Task: arc-easy-exact Metric: accuracy 

Task: hellaswag Metric: accuracy 

Task: arc-challenge Metric: accuracy 

Task: mmlu Metric: average_acc 

Task: boolq Metric: accuracy 

Task: xlsum Metric: bleurt 

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-v4)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |64.23|
|AI2 Reasoning Challenge (25-Shot)|60.15|
|HellaSwag (10-Shot)              |81.84|
|MMLU (5-Shot)                    |61.32|
|TruthfulQA (0-shot)              |44.89|
|Winogrande (5-shot)              |79.95|
|GSM8k (5-shot)                   |57.24|


# [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-v4)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |64.23|
|AI2 Reasoning Challenge (25-Shot)|60.15|
|HellaSwag (10-Shot)              |81.84|
|MMLU (5-Shot)                    |61.32|
|TruthfulQA (0-shot)              |44.89|
|Winogrande (5-shot)              |79.95|
|GSM8k (5-shot)                   |57.24|