Model: OpenLLM-Ro/RoGemma2-9b-Instruct-DPO-2024-10-09
Author: OpenLLM-Ro
Tags: safetensors, gemma2, ro, dataset:OpenLLM-Ro/ro_dpo_helpsteer, arxiv:2406.18266, base_model:OpenLLM-Ro/RoGemma2-9b-Instruct-2024-10-09, base_model:finetune:OpenLLM-Ro/RoGemma2-9b-Instruct-2024-10-09, license:cc-by-nc-4.0, model-index, region:us
Base models (finetune): id: OpenLLM-Ro/RoGemma2-9b-Instruct-2024-10-09
Card metadata: license: cc-by-nc-4.0
language: ro
base_model: OpenLLM-Ro/RoGemma2-9b-Instruct-2024-10-09
datasets: OpenLLM-Ro/ro_dpo_helpsteer
model-index: name: OpenLLM-Ro/RoGemma2-9b-Instruct-DPO-2024-10-09
results: task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: Score
type: Score
value: 6.77
verified: no, task: type: text-generation
dataset: name: RoCulturaBench
type: RoCulturaBench
metrics: name: Score
type: Score
value: 4.83
verified: no, task: type: text-generation
dataset: name: Romanian_Academic_Benchmarks
type: Romanian_Academic_Benchmarks
metrics: name: Average accuracy
type: accuracy
value: 59.08
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: 54.1
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: Average accuracy
type: accuracy
value: 63.41
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: Average accuracy
type: accuracy
value: 70.02
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: Average accuracy
type: accuracy
value: 59.35
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: Average accuracy
type: accuracy
value: 57.24
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_truthfulqa
type: OpenLLM-Ro/ro_truthfulqa
metrics: name: Average accuracy
type: accuracy
value: 50.39
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: Average macro-f1
type: macro-f1
value: 97.74
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: Average macro-f1
type: macro-f1
value: 67.4
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: Average bleu
type: bleu
value: 27.32
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: Average bleu
type: bleu
value: 15.96
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average exact_match
type: exact_match
value: 32.42
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average f1
type: f1
value: 58.68
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average spearman
type: spearman
value: 80.82
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average pearson
type: pearson
value: 81.5
verified: no, task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: First turn
type: Score
value: 7.24
verified: no, name: Second turn
type: Score
value: 6.3
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: 51.59
verified: no, name: 1-shot
type: accuracy
value: 50.99
verified: no, name: 3-shot
type: accuracy
value: 53.47
verified: no, name: 5-shot
type: accuracy
value: 54.84
verified: no, name: 10-shot
type: accuracy
value: 58.1
verified: no, name: 25-shot
type: accuracy
value: 55.61
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: 0-shot
type: accuracy
value: 62.15
verified: no, name: 1-shot
type: accuracy
value: 62.78
verified: no, name: 3-shot
type: accuracy
value: 64.27
verified: no, name: 5-shot
type: accuracy
value: 64.43
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: 0-shot
type: accuracy
value: 66.69
verified: no, name: 1-shot
type: accuracy
value: 68.82
verified: no, name: 3-shot
type: accuracy
value: 71.82
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: 56.98
verified: no, name: 1-shot
type: accuracy
value: 57.73
verified: no, name: 3-shot
type: accuracy
value: 59.29
verified: no, name: 5-shot
type: accuracy
value: 60.7
verified: no, name: 10-shot
type: accuracy
value: 62.03
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: 1-shot
type: accuracy
value: 46.78
verified: no, name: 3-shot
type: accuracy
value: 59.97
verified: no, name: 5-shot
type: accuracy
value: 64.97
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: 0-shot
type: macro-f1
value: 97.3
verified: no, name: 1-shot
type: macro-f1
value: 97.5
verified: no, name: 3-shot
type: macro-f1
value: 97.83
verified: no, name: 5-shot
type: macro-f1
value: 98.33
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: 0-shot
type: macro-f1
value: 59.3
verified: no, name: 1-shot
type: macro-f1
value: 65.52
verified: no, name: 3-shot
type: macro-f1
value: 70.94
verified: no, name: 5-shot
type: macro-f1
value: 73.85
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: 0-shot
type: bleu
value: 17.49
verified: no, name: 1-shot
type: bleu
value: 30.33
verified: no, name: 3-shot
type: bleu
value: 30.58
verified: no, name: 5-shot
type: bleu
value: 30.88
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: 0-shot
type: bleu
value: 2.17
verified: no, name: 1-shot
type: bleu
value: 10.69
verified: no, name: 3-shot
type: bleu
value: 21.68
verified: no, name: 5-shot
type: bleu
value: 29.28
verified: no, task: type: text-generation
dataset: name: XQuAD_EM
type: XQuAD_EM
metrics: name: 0-shot
type: exact_match
value: 23.28
verified: no, name: 1-shot
type: exact_match
value: 33.45
verified: no, name: 3-shot
type: exact_match
value: 34.37
verified: no, name: 5-shot
type: exact_match
value: 38.57
verified: no, task: type: text-generation
dataset: name: XQuAD_F1
type: XQuAD_F1
metrics: name: 0-shot
type: f1
value: 47.16
verified: no, name: 1-shot
type: f1
value: 60.28
verified: no, name: 3-shot
type: f1
value: 62.09
verified: no, name: 5-shot
type: f1
value: 65.2
verified: no, task: type: text-generation
dataset: name: STS_Spearman
type: STS_Spearman
metrics: name: 1-shot
type: spearman
value: 75.34
verified: no, name: 3-shot
type: spearman
value: 82.71
verified: no, name: 5-shot
type: spearman
value: 84.41
verified: no, task: type: text-generation
dataset: name: STS_Pearson
type: STS_Pearson
metrics: name: 1-shot
type: pearson
value: 77.97
verified: no, name: 3-shot
type: pearson
value: 82.49
verified: no, name: 5-shot
type: pearson
value: 84.05
verified: no
Likes: 1 | All-time downloads: 3341
Created: 2024-10-10 14:22:42