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---
license: cc-by-nc-4.0
datasets:
- vicgalle/alpaca-gpt4
language:
- en
---
## 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. | 31.17 |
| ARC (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 |
| DROP (3-shot) | 5.47 |
|