---
language:
- en
license: cc-by-nc-4.0
datasets:
- vicgalle/alpaca-gpt4
model-index:
- name: ShortKingv0.1
  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: 34.22
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AtAndDev/ShortKingv0.1
      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: 54.59
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AtAndDev/ShortKingv0.1
      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: 25.78
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AtAndDev/ShortKingv0.1
      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: 41.64
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AtAndDev/ShortKingv0.1
      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: 56.04
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AtAndDev/ShortKingv0.1
      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: 0.45
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AtAndDev/ShortKingv0.1
      name: Open LLM Leaderboard
---

## Model Overview
Model license: cc-by-nc-4.0<br>
This model is trained based on [EleutherAI/pythia-1.4b-deduped](https://huggingface.co/EleutherAI/pythia-1.4b-deduped) model that is LoRA finetuned on [vicgalle/alpaca-gpt4](https://huggingface.co/datasets/vicgalle/alpaca-gpt4) dataset.<br>

## Prompt Template: `Alpaca`
```
<system_prompt>

### Instruction:
<user_message>

### Response:
<assistant_response>
```

## Intended Use
THIS IS A TEST MODEL, IT IS NOT INTENDED FOR REAL APPLICATIONS BY ANY MEANS. HOWEVER, A NEW MODEL IS COMING IN THE SAME TOPIC.<br>
This model series will be used for small but intense applications.

## Training Details
This model took `2:31:23` to train in QLoRA on a single  `T4`  GPU.<br>
 - *epochs*:  `1`
 - *train batch size*:  `12`
 - *eval batch size*:  `12`
 - *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__ShortKingv0.1)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |35.45|
|AI2 Reasoning Challenge (25-Shot)|34.22|
|HellaSwag (10-Shot)              |54.59|
|MMLU (5-Shot)                    |25.78|
|TruthfulQA (0-shot)              |41.64|
|Winogrande (5-shot)              |56.04|
|GSM8k (5-shot)                   | 0.45|