README.md

---
language:
- en
license: cc-by-4.0
datasets:
- Photolens/alpaca-cleaned-airoboros-2.1-no-code-oasst1-en-merged
model-index:
- name: ShortKing-3b-v0.3
  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: 40.96
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AtAndDev/ShortKing-3b-v0.3
      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: 70.72
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AtAndDev/ShortKing-3b-v0.3
      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: 26.21
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AtAndDev/ShortKing-3b-v0.3
      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: 38.78
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AtAndDev/ShortKing-3b-v0.3
      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: 66.93
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AtAndDev/ShortKing-3b-v0.3
      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: 1.21
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AtAndDev/ShortKing-3b-v0.3
      name: Open LLM Leaderboard
---

## Model overview
This model is finetuned on *[a merged dataset of: oasst1-en, alpaca-cleaned and airoboros-2.1-no-code](https://huggingface.co/datasets/Photolens/alpaca-cleaned-airoboros-2.1-no-code-oasst1-en-merged)* on a base model: *[Marx-3b-V2](https://huggingface.co/acrastt/Marx-3B-V2)*
 - License: "`Creative-Commons-Attribution-4.0`"
 - Language: "`en`"
 - Size: "`3.43b params`"

## Prompt template
Prompt template:
```
### SYSTEM:
<system_prompt_here>

### HUMAN:
<prompter_message_here>

### INPUT:
<input_text_here>

### RESPONSE:
<leave_a_blank_line_here>
```
*Note: If you dont have a system or input text, do not include the tokens in the prompt.*

## Training Details
This model took `2:40:54` to train in LoRA on a single `A100 40gb` GPU.<br>
 - *epochs*:  `1`
 - *train batch size*:  `8`
 - *eval batch size*:  `8`
 - *gradient accumulation steps*:  `1`
 - *maximum gradient normal*:  `0.3`
 - *learning rate*:  `2e-4`
 - *weight decay*:  `0.001`
 - *optimizer*:  `paged_adamw_32bit`
 - *learning rate schedule*:  `cosine`
 - *warmup ratio (linear)*:  `0.03`
# [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_AtAndDev__ShortKing-3b-v0.3)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |40.80|
|AI2 Reasoning Challenge (25-Shot)|40.96|
|HellaSwag (10-Shot)              |70.72|
|MMLU (5-Shot)                    |26.21|
|TruthfulQA (0-shot)              |38.78|
|Winogrande (5-shot)              |66.93|
|GSM8k (5-shot)                   | 1.21|