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---
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|
|