mpasila/Finnish-Alpaca-Tiny-V2-7B

This is a merge of mpasila/Finnish-Alpaca-Tiny-V2-LoRA-7B.

LoRA trained in 4-bit with 2k context using LumiOpen/Viking-7B as the base model for 1 epoch.

Dataset used is mpasila/Finnish-Alpaca-Tiny.

It works relatively well for question and answering. I will make a bigger dataset for the next fine-tune.

Prompt format: Alpaca

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%"
}

Evaluation

Model	Size	Type	FIN-bench (score)
mpasila/Finnish-Alpaca-Tiny-V2-7B	7B	Instruct	0.4654
mpasila/Finnish-Alpaca-Small-7B	7B	Instruct	0.3586
mpasila/Alpacazord-Viking-7B	7B	Instruct	0.4123
mpasila/NordicAlpaca-Finnish-V1-7B	7B	Instruct	0.3891
mpasila/Finnish-Viking-Alpaca-V1-7B	7B	Instruct	0.3943
Finnish-NLP/llama-7b-finnish-instruct-v0.1	7B	Instruct	0.4365
Finnish-NLP/llama-7b-finnish-instruct-v0.2	7B	Instruct	0.3993
Finnish-NLP/llama-7b-finnish	7B	Base	0.2350
LumiOpen/Viking-7B (1000B)	7B	Base	0.3721
HPLT/gpt-7b-nordic-prerelease	7B	Base	0.3169

Source

FIN-bench scores:

Task	Version	Metric	Value		Stderr
bigbench_analogies	0	multiple_choice_grade	0.6385	±	0.0423
bigbench_arithmetic_1_digit_addition	0	multiple_choice_grade	0.7200	±	0.0451
bigbench_arithmetic_1_digit_division	0	multiple_choice_grade	0.7391	±	0.0936
bigbench_arithmetic_1_digit_multiplication	0	multiple_choice_grade	0.4800	±	0.0502
bigbench_arithmetic_1_digit_subtraction	0	multiple_choice_grade	0.6300	±	0.0485
bigbench_arithmetic_2_digit_addition	0	multiple_choice_grade	0.4000	±	0.0492
bigbench_arithmetic_2_digit_division	0	multiple_choice_grade	0.5000	±	0.0503
bigbench_arithmetic_2_digit_multiplication	0	multiple_choice_grade	0.2800	±	0.0451
bigbench_arithmetic_2_digit_subtraction	0	multiple_choice_grade	0.4300	±	0.0498
bigbench_arithmetic_3_digit_addition	0	multiple_choice_grade	0.5800	±	0.0496
bigbench_arithmetic_3_digit_division	0	multiple_choice_grade	0.3100	±	0.0465
bigbench_arithmetic_3_digit_multiplication	0	multiple_choice_grade	0.2900	±	0.0456
bigbench_arithmetic_3_digit_subtraction	0	multiple_choice_grade	0.5100	±	0.0502
bigbench_arithmetic_4_digit_addition	0	multiple_choice_grade	0.5300	±	0.0502
bigbench_arithmetic_4_digit_division	0	multiple_choice_grade	0.3900	±	0.0490
bigbench_arithmetic_4_digit_multiplication	0	multiple_choice_grade	0.3100	±	0.0465
bigbench_arithmetic_4_digit_subtraction	0	multiple_choice_grade	0.6200	±	0.0488
bigbench_arithmetic_5_digit_addition	0	multiple_choice_grade	0.6500	±	0.0479
bigbench_arithmetic_5_digit_division	0	multiple_choice_grade	0.3200	±	0.0469
bigbench_arithmetic_5_digit_multiplication	0	multiple_choice_grade	0.3000	±	0.0461
bigbench_arithmetic_5_digit_subtraction	0	multiple_choice_grade	0.6400	±	0.0482
bigbench_cause_and_effect_one_sentence	0	multiple_choice_grade	0.5686	±	0.0700
bigbench_cause_and_effect_one_sentence_no_prompt	0	multiple_choice_grade	0.6471	±	0.0676
bigbench_cause_and_effect_two_sentences	0	multiple_choice_grade	0.4314	±	0.0700
bigbench_emotions	0	multiple_choice_grade	0.2250	±	0.0331
bigbench_empirical_judgments	0	multiple_choice_grade	0.2525	±	0.0439
bigbench_general_knowledge	0	multiple_choice_grade	0.3429	±	0.0571
bigbench_hhh_alignment_harmless	0	multiple_choice_grade	0.3793	±	0.0643
bigbench_hhh_alignment_helpful	0	multiple_choice_grade	0.3390	±	0.0622
bigbench_hhh_alignment_honest	0	multiple_choice_grade	0.3729	±	0.0635
bigbench_hhh_alignment_other	0	multiple_choice_grade	0.5349	±	0.0770
bigbench_intent_recognition	0	multiple_choice_grade	0.2153	±	0.0156
bigbench_misconceptions	0	multiple_choice_grade	0.5224	±	0.0433
bigbench_paraphrase	0	multiple_choice_grade	0.4750	±	0.0354
bigbench_sentence_ambiguity	0	multiple_choice_grade	0.4833	±	0.0651
bigbench_similarities_abstraction	0	multiple_choice_grade	0.6974	±	0.0530

Uploaded model

• Developed by: mpasila
• License: apache-2.0
• Finetuned from model : LumiOpen/Viking-7B

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.