Finnish fine-tunes
Collection
All my Finnish fine-tuned models.
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23 items
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Updated
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2
This is a merge of mpasila/Finnish-Alpaca-Small-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-Small.
Re-trained because I have no idea if I used the fully trained model or the partially trained model (of Viking-7B), since it apparently was just released. (After re-training the score lowered noticeably so I wonder if I screwed up something.)
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%"
}
Model | Size | Type | FIN-bench (score) |
---|---|---|---|
mpasila/Finnish-Alpaca-Small-7B | 7B | Instruct | 0.3586 |
mpasila/Finnish-Alpaca-Tiny-V2-7B | 7B | Instruct | 0.4654 |
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 |
Task | Version | Metric | Value | Stderr | |
---|---|---|---|---|---|
bigbench_analogies | 0 | multiple_choice_grade | 0.5923 | ± | 0.0433 |
bigbench_arithmetic_1_digit_addition | 0 | multiple_choice_grade | 0.2700 | ± | 0.0446 |
bigbench_arithmetic_1_digit_division | 0 | multiple_choice_grade | 0.4783 | ± | 0.1065 |
bigbench_arithmetic_1_digit_multiplication | 0 | multiple_choice_grade | 0.2600 | ± | 0.0441 |
bigbench_arithmetic_1_digit_subtraction | 0 | multiple_choice_grade | 0.2200 | ± | 0.0416 |
bigbench_arithmetic_2_digit_addition | 0 | multiple_choice_grade | 0.1700 | ± | 0.0378 |
bigbench_arithmetic_2_digit_division | 0 | multiple_choice_grade | 0.3600 | ± | 0.0482 |
bigbench_arithmetic_2_digit_multiplication | 0 | multiple_choice_grade | 0.2000 | ± | 0.0402 |
bigbench_arithmetic_2_digit_subtraction | 0 | multiple_choice_grade | 0.1300 | ± | 0.0338 |
bigbench_arithmetic_3_digit_addition | 0 | multiple_choice_grade | 0.3100 | ± | 0.0465 |
bigbench_arithmetic_3_digit_division | 0 | multiple_choice_grade | 0.2100 | ± | 0.0409 |
bigbench_arithmetic_3_digit_multiplication | 0 | multiple_choice_grade | 0.1600 | ± | 0.0368 |
bigbench_arithmetic_3_digit_subtraction | 0 | multiple_choice_grade | 0.2300 | ± | 0.0423 |
bigbench_arithmetic_4_digit_addition | 0 | multiple_choice_grade | 0.3900 | ± | 0.0490 |
bigbench_arithmetic_4_digit_division | 0 | multiple_choice_grade | 0.2300 | ± | 0.0423 |
bigbench_arithmetic_4_digit_multiplication | 0 | multiple_choice_grade | 0.2100 | ± | 0.0409 |
bigbench_arithmetic_4_digit_subtraction | 0 | multiple_choice_grade | 0.4500 | ± | 0.0500 |
bigbench_arithmetic_5_digit_addition | 0 | multiple_choice_grade | 0.4800 | ± | 0.0502 |
bigbench_arithmetic_5_digit_division | 0 | multiple_choice_grade | 0.0700 | ± | 0.0256 |
bigbench_arithmetic_5_digit_multiplication | 0 | multiple_choice_grade | 0.1700 | ± | 0.0378 |
bigbench_arithmetic_5_digit_subtraction | 0 | multiple_choice_grade | 0.5800 | ± | 0.0496 |
bigbench_cause_and_effect_one_sentence | 0 | multiple_choice_grade | 0.6275 | ± | 0.0684 |
bigbench_cause_and_effect_one_sentence_no_prompt | 0 | multiple_choice_grade | 0.6667 | ± | 0.0667 |
bigbench_cause_and_effect_two_sentences | 0 | multiple_choice_grade | 0.5098 | ± | 0.0707 |
bigbench_emotions | 0 | multiple_choice_grade | 0.3312 | ± | 0.0373 |
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 | 0.3793 | ± | 0.0643 |
bigbench_hhh_alignment_helpful | 0 | multiple_choice_grade | 0.3559 | ± | 0.0629 |
bigbench_hhh_alignment_honest | 0 | multiple_choice_grade | 0.3559 | ± | 0.0629 |
bigbench_hhh_alignment_other | 0 | multiple_choice_grade | 0.5349 | ± | 0.0770 |
bigbench_intent_recognition | 0 | multiple_choice_grade | 0.1546 | ± | 0.0138 |
bigbench_misconceptions | 0 | multiple_choice_grade | 0.5448 | ± | 0.0432 |
bigbench_paraphrase | 0 | multiple_choice_grade | 0.5300 | ± | 0.0354 |
bigbench_sentence_ambiguity | 0 | multiple_choice_grade | 0.4333 | ± | 0.0645 |
bigbench_similarities_abstraction | 0 | multiple_choice_grade | 0.6974 | ± | 0.0530 |
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
Base model
LumiOpen/Viking-7B