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---
language:
- fi
base_model: HPLT/gpt-7b-nordic-prerelease
license: apache-2.0
datasets:
- pinzhenchen/alpaca-cleaned-fi
---
# Model Card for NordicAlpaca-Finnish-V1-7B
This is a merge of [mpasila/NordicAlpaca-Finnish-V1-7B-LoRA](https://huggingface.co/mpasila/NordicAlpaca-Finnish-V1-7B-LoRA/).
Dataset used with the LoRA is [pinzhenchen/alpaca-cleaned-fi](https://huggingface.co/datasets/pinzhenchen/alpaca-cleaned-fi/).
Base model used: [HPLT/gpt-7b-nordic-prerelease](https://huggingface.co/HPLT/gpt-7b-nordic-prerelease/)
It uses Alpaca format but with a translated instruction at the start:
```
{
"instruction,output": "Alla on ohje, jossa kuvataan tehtävä. Kirjoita vastaus, joka täyttää pyynnön asianmukaisesti.\n\n### Instruction:\n%instruction%\n\n### Response:\n%output%",
"instruction,input,output": "Alla on ohje, jossa kuvataan tehtävä ja joka on yhdistetty kontekstia lisäävään syötteeseen. Kirjoita vastaus, joka täyttää pyynnön asianmukaisesti.\n\n### Instruction:\n%instruction%\n\n### Input:\n%input%\n\n### Response:\n%output%"
}
```
Merged using this [Colab notebook](https://colab.research.google.com/drive/1a76Y21GfPtmVs71Uztlgk2xzPA4_vVjs?usp=sharing). It might not be the best way to merge a quantized LoRA on to a float16 model but I just wanted to quickly do something. You can try merging it better if you want.
## Evaluation
| Model | Size | Type | FIN-bench (score) |
|-------|------|------|-------|
| **mpasila/NordicAlpaca-Finnish-V1-7B** | 7B | Instruct | 0.3891 |
| [mpasila/Finnish-Alpaca-Small-7B](https://huggingface.co/mpasila/Finnish-Alpaca-Small-7B) | 7B | Instruct | 0.3586 |
| [mpasila/Finnish-Alpaca-Tiny-V2-7B](https://huggingface.co/mpasila/Finnish-Alpaca-Tiny-V2-7B) | 7B | Instruct | **0.4654** |
| [mpasila/Alpacazord-Viking-7B](https://huggingface.co/mpasila/Alpacazord-Viking-7B) | 7B | Instruct | 0.4123 |
| [mpasila/Finnish-Viking-Alpaca-V1-7B](https://huggingface.co/mpasila/Finnish-Viking-Alpaca-V1-7B) | 7B | Instruct | 0.3943 |
| [Finnish-NLP/llama-7b-finnish-instruct-v0.1](https://huggingface.co/Finnish-NLP/llama-7b-finnish-instruct-v0.1) | 7B | Instruct | 0.4365 |
| [Finnish-NLP/llama-7b-finnish-instruct-v0.2](https://huggingface.co/Finnish-NLP/llama-7b-finnish-instruct-v0.2) | 7B | Instruct | 0.3993 |
| [Finnish-NLP/llama-7b-finnish](https://huggingface.co/Finnish-NLP/llama-7b-finnish) | 7B | Base | 0.2350 |
| [LumiOpen/Viking-7B (1000B)](https://huggingface.co/LumiOpen/Viking-7B) | 7B | Base | 0.3721 |
| [HPLT/gpt-7b-nordic-prerelease](https://huggingface.co/HPLT/gpt-7b-nordic-prerelease) | 7B | Base | 0.3169 |
[Source](https://docs.google.com/spreadsheets/d/1rqJb9dQVihg-Z1_Ras1L_-wuzPg9xNzpdmM2x5HueeY/edit?usp=sharing)
#### FIN-bench scores:
| Task |Version| Metric |Value | |Stderr|
|------------------------------------------------|------:|---------------------|-----:|---|-----:|
|bigbench_analogies | 0|multiple_choice_grade|0.5615|± |0.0437|
|bigbench_arithmetic_1_digit_addition | 0|multiple_choice_grade|0.5300|± |0.0502|
|bigbench_arithmetic_1_digit_division | 0|multiple_choice_grade|0.8261|± |0.0808|
|bigbench_arithmetic_1_digit_multiplication | 0|multiple_choice_grade|0.3700|± |0.0485|
|bigbench_arithmetic_1_digit_subtraction | 0|multiple_choice_grade|0.6000|± |0.0492|
|bigbench_arithmetic_2_digit_addition | 0|multiple_choice_grade|0.0300|± |0.0171|
|bigbench_arithmetic_2_digit_division | 0|multiple_choice_grade|0.4700|± |0.0502|
|bigbench_arithmetic_2_digit_multiplication | 0|multiple_choice_grade|0.1000|± |0.0302|
|bigbench_arithmetic_2_digit_subtraction | 0|multiple_choice_grade|0.1800|± |0.0386|
|bigbench_arithmetic_3_digit_addition | 0|multiple_choice_grade|0.3000|± |0.0461|
|bigbench_arithmetic_3_digit_division | 0|multiple_choice_grade|0.2000|± |0.0402|
|bigbench_arithmetic_3_digit_multiplication | 0|multiple_choice_grade|0.1800|± |0.0386|
|bigbench_arithmetic_3_digit_subtraction | 0|multiple_choice_grade|0.2500|± |0.0435|
|bigbench_arithmetic_4_digit_addition | 0|multiple_choice_grade|0.4200|± |0.0496|
|bigbench_arithmetic_4_digit_division | 0|multiple_choice_grade|0.2400|± |0.0429|
|bigbench_arithmetic_4_digit_multiplication | 0|multiple_choice_grade|0.2200|± |0.0416|
|bigbench_arithmetic_4_digit_subtraction | 0|multiple_choice_grade|0.4600|± |0.0501|
|bigbench_arithmetic_5_digit_addition | 0|multiple_choice_grade|0.5400|± |0.0501|
|bigbench_arithmetic_5_digit_division | 0|multiple_choice_grade|0.1100|± |0.0314|
|bigbench_arithmetic_5_digit_multiplication | 0|multiple_choice_grade|0.2400|± |0.0429|
|bigbench_arithmetic_5_digit_subtraction | 0|multiple_choice_grade|0.5200|± |0.0502|
|bigbench_cause_and_effect_one_sentence | 0|multiple_choice_grade|0.6471|± |0.0676|
|bigbench_cause_and_effect_one_sentence_no_prompt| 0|multiple_choice_grade|0.8039|± |0.0561|
|bigbench_cause_and_effect_two_sentences | 0|multiple_choice_grade|0.3529|± |0.0676|
|bigbench_emotions | 0|multiple_choice_grade|0.2938|± |0.0361|
|bigbench_empirical_judgments | 0|multiple_choice_grade|0.3333|± |0.0476|
|bigbench_general_knowledge | 0|multiple_choice_grade|0.2857|± |0.0544|
|bigbench_hhh_alignment_harmless | 0|multiple_choice_grade|0.3448|± |0.0630|
|bigbench_hhh_alignment_helpful | 0|multiple_choice_grade|0.3220|± |0.0614|
|bigbench_hhh_alignment_honest | 0|multiple_choice_grade|0.3729|± |0.0635|
|bigbench_hhh_alignment_other | 0|multiple_choice_grade|0.5581|± |0.0766|
|bigbench_intent_recognition | 0|multiple_choice_grade|0.1777|± |0.0145|
|bigbench_misconceptions | 0|multiple_choice_grade|0.5373|± |0.0432|
|bigbench_paraphrase | 0|multiple_choice_grade|0.4750|± |0.0354|
|bigbench_sentence_ambiguity | 0|multiple_choice_grade|0.4333|± |0.0645|
|bigbench_similarities_abstraction | 0|multiple_choice_grade|0.7237|± |0.0516|
### Framework versions
- PEFT 0.8.2 |