Model: OpenLLM-Ro/RoGemma2-9b-Instruct-2025-04-23
Author: OpenLLM-Ro
Tags: safetensors, gemma2, ro, dataset:OpenLLM-Ro/ro_sft_alpaca, dataset:OpenLLM-Ro/ro_sft_alpaca_gpt4, dataset:OpenLLM-Ro/ro_sft_dolly, dataset:OpenLLM-Ro/ro_sft_selfinstruct_gpt4, dataset:OpenLLM-Ro/ro_sft_norobots, dataset:OpenLLM-Ro/ro_sft_orca, dataset:OpenLLM-Ro/ro_sft_camel, dataset:OpenLLM-Ro/ro_sft_oasst, dataset:OpenLLM-Ro/ro_sft_ultrachat, dataset:OpenLLM-Ro/ro_sft_magpie_mt, dataset:OpenLLM-Ro/ro_sft_magpie_reasoning, arxiv:2406.18266, base_model:google/gemma-2-9b-it, base_model:finetune:google/gemma-2-9b-it, license:cc-by-nc-4.0, model-index, region:us
Base models (finetune): id: google/gemma-2-9b-it
Card metadata: license: cc-by-nc-4.0
language: ro
base_model: google/gemma-2-9b-it
datasets: OpenLLM-Ro/ro_sft_alpaca, OpenLLM-Ro/ro_sft_alpaca_gpt4, OpenLLM-Ro/ro_sft_dolly, OpenLLM-Ro/ro_sft_selfinstruct_gpt4, OpenLLM-Ro/ro_sft_norobots, OpenLLM-Ro/ro_sft_orca, OpenLLM-Ro/ro_sft_camel, OpenLLM-Ro/ro_sft_oasst, OpenLLM-Ro/ro_sft_ultrachat, OpenLLM-Ro/ro_sft_magpie_mt, OpenLLM-Ro/ro_sft_magpie_reasoning
model-index: name: OpenLLM-Ro/RoGemma2-9b-Instruct-2025-04-23
results: task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: Score
type: Score
value: 6.78
verified: no, task: type: text-generation
dataset: name: RoCulturaBench
type: RoCulturaBench
metrics: name: Score
type: Score
value: 4.89
verified: no, task: type: text-generation
dataset: name: Romanian_Academic_Benchmarks
type: Romanian_Academic_Benchmarks
metrics: name: Average accuracy
type: accuracy
value: 54.39
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_arc_challenge
type: OpenLLM-Ro/ro_arc_challenge
metrics: name: Average accuracy
type: accuracy
value: 50.24
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: Average accuracy
type: accuracy
value: 62
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: Average accuracy
type: accuracy
value: 70.38
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: Average accuracy
type: accuracy
value: 52.25
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: Average accuracy
type: accuracy
value: 40.51
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_truthfulqa
type: OpenLLM-Ro/ro_truthfulqa
metrics: name: Average accuracy
type: accuracy
value: 50.97
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: Average macro-f1
type: macro-f1
value: 84.23
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: Average macro-f1
type: macro-f1
value: 60.14
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: Average bleu
type: bleu
value: 17.78
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: Average bleu
type: bleu
value: 18.24
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average exact_match
type: exact_match
value: 49.22
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average f1
type: f1
value: 66.33
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average spearman
type: spearman
value: 70.17
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average pearson
type: pearson
value: 70.8
verified: no, task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: First turn
type: Score
value: 7
verified: no, name: Second turn
type: Score
value: 6.55
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_arc_challenge
type: OpenLLM-Ro/ro_arc_challenge
metrics: name: 0-shot
type: accuracy
value: 47.47
verified: no, name: 1-shot
type: accuracy
value: 50.56
verified: no, name: 3-shot
type: accuracy
value: 50.73
verified: no, name: 5-shot
type: accuracy
value: 50.39
verified: no, name: 10-shot
type: accuracy
value: 50.99
verified: no, name: 25-shot
type: accuracy
value: 51.33
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: 0-shot
type: accuracy
value: 58.73
verified: no, name: 1-shot
type: accuracy
value: 60.12
verified: no, name: 3-shot
type: accuracy
value: 64.93
verified: no, name: 5-shot
type: accuracy
value: 64.21
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: 0-shot
type: accuracy
value: 66.06
verified: no, name: 1-shot
type: accuracy
value: 70.4
verified: no, name: 3-shot
type: accuracy
value: 72.3
verified: no, name: 5-shot
type: accuracy
value: 72.77
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: 0-shot
type: accuracy
value: 56.3
verified: no, name: 1-shot
type: accuracy
value: 58.29
verified: no, name: 3-shot
type: accuracy
value: 50.88
verified: no, name: 5-shot
type: accuracy
value: 44.38
verified: no, name: 10-shot
type: accuracy
value: 51.41
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: 1-shot
type: accuracy
value: 27.29
verified: no, name: 3-shot
type: accuracy
value: 39.04
verified: no, name: 5-shot
type: accuracy
value: 55.19
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: 0-shot
type: macro-f1
value: 59.19
verified: no, name: 1-shot
type: macro-f1
value: 94.22
verified: no, name: 3-shot
type: macro-f1
value: 93.24
verified: no, name: 5-shot
type: macro-f1
value: 90.27
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: 0-shot
type: macro-f1
value: 32.52
verified: no, name: 1-shot
type: macro-f1
value: 68.64
verified: no, name: 3-shot
type: macro-f1
value: 70.14
verified: no, name: 5-shot
type: macro-f1
value: 69.26
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: 0-shot
type: bleu
value: 1.96
verified: no, name: 1-shot
type: bleu
value: 27.3
verified: no, name: 3-shot
type: bleu
value: 28.31
verified: no, name: 5-shot
type: bleu
value: 13.56
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: 0-shot
type: bleu
value: 0.66
verified: no, name: 1-shot
type: bleu
value: 26.76
verified: no, name: 3-shot
type: bleu
value: 31.88
verified: no, name: 5-shot
type: bleu
value: 13.66
verified: no, task: type: text-generation
dataset: name: XQuAD_EM
type: XQuAD_EM
metrics: name: 0-shot
type: exact_match
value: 49.92
verified: no, name: 1-shot
type: exact_match
value: 47.98
verified: no, name: 3-shot
type: exact_match
value: 45.71
verified: no, name: 5-shot
type: exact_match
value: 53.28
verified: no, task: type: text-generation
dataset: name: XQuAD_F1
type: XQuAD_F1
metrics: name: 0-shot
type: f1
value: 67.52
verified: no, name: 1-shot
type: f1
value: 63.97
verified: no, name: 3-shot
type: f1
value: 62.39
verified: no, name: 5-shot
type: f1
value: 71.43
verified: no, task: type: text-generation
dataset: name: STS_Spearman
type: STS_Spearman
metrics: name: 1-shot
type: spearman
value: 82.53
verified: no, name: 3-shot
type: spearman
value: 65.73
verified: no, name: 5-shot
type: spearman
value: 62.25
verified: no, task: type: text-generation
dataset: name: STS_Pearson
type: STS_Pearson
metrics: name: 1-shot
type: pearson
value: 82.89
verified: no, name: 3-shot
type: pearson
value: 66.26
verified: no, name: 5-shot
type: pearson
value: 63.25
verified: no
Likes: 0 | All-time downloads: 254
Created: 2025-04-22 08:24:36