Model: OpenLLM-Ro/RoGemma2-9b-Instruct-DPO
Author: OpenLLM-Ro
Tags: safetensors, gemma2, ro, dataset:OpenLLM-Ro/ro_dpo_helpsteer, dataset:OpenLLM-Ro/ro_dpo_ultrafeedback, dataset:OpenLLM-Ro/ro_dpo_magpie, dataset:OpenLLM-Ro/ro_dpo_argilla_magpie, dataset:OpenLLM-Ro/ro_dpo_helpsteer2, arxiv:2406.18266, base_model:OpenLLM-Ro/RoGemma2-9b-Instruct-2025-04-23, base_model:finetune:OpenLLM-Ro/RoGemma2-9b-Instruct-2025-04-23, license:cc-by-nc-4.0, model-index, region:us
Base models (finetune): id: OpenLLM-Ro/RoGemma2-9b-Instruct-2025-04-23
Card metadata: license: cc-by-nc-4.0
language: ro
base_model: OpenLLM-Ro/RoGemma2-9b-Instruct-2025-04-23
datasets: OpenLLM-Ro/ro_dpo_helpsteer, OpenLLM-Ro/ro_dpo_ultrafeedback, OpenLLM-Ro/ro_dpo_magpie, OpenLLM-Ro/ro_dpo_argilla_magpie, OpenLLM-Ro/ro_dpo_helpsteer2
model-index: name: OpenLLM-Ro/RoGemma2-9b-Instruct-DPO-2025-04-23
results: task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: Score
type: Score
value: 7.26
verified: no, task: type: text-generation
dataset: name: RoCulturaBench
type: RoCulturaBench
metrics: name: Score
type: Score
value: 5.36
verified: no, task: type: text-generation
dataset: name: Romanian_Academic_Benchmarks
type: Romanian_Academic_Benchmarks
metrics: name: Average accuracy
type: accuracy
value: 59.79
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: 55.66
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: Average accuracy
type: accuracy
value: 64
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: Average accuracy
type: accuracy
value: 73.16
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: Average accuracy
type: accuracy
value: 64.26
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: Average accuracy
type: accuracy
value: 37.8
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_truthfulqa
type: OpenLLM-Ro/ro_truthfulqa
metrics: name: Average accuracy
type: accuracy
value: 63.86
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: Average macro-f1
type: macro-f1
value: 82.84
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: Average macro-f1
type: macro-f1
value: 65.95
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: Average bleu
type: bleu
value: 28.16
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: Average bleu
type: bleu
value: 19.34
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average exact_match
type: exact_match
value: 30.82
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average f1
type: f1
value: 48.53
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average spearman
type: spearman
value: 73.24
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average pearson
type: pearson
value: 73.13
verified: no, task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: First turn
type: Score
value: 7.65
verified: no, name: Second turn
type: Score
value: 6.86
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: 52.44
verified: no, name: 1-shot
type: accuracy
value: 55.7
verified: no, name: 3-shot
type: accuracy
value: 56.47
verified: no, name: 5-shot
type: accuracy
value: 55.7
verified: no, name: 10-shot
type: accuracy
value: 57.16
verified: no, name: 25-shot
type: accuracy
value: 56.47
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: 0-shot
type: accuracy
value: 65.2
verified: no, name: 1-shot
type: accuracy
value: 63.27
verified: no, name: 3-shot
type: accuracy
value: 63.83
verified: no, name: 5-shot
type: accuracy
value: 63.69
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: 0-shot
type: accuracy
value: 74.11
verified: no, name: 1-shot
type: accuracy
value: 72.53
verified: no, name: 3-shot
type: accuracy
value: 72.93
verified: no, name: 5-shot
type: accuracy
value: 73.09
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: 0-shot
type: accuracy
value: 65.9
verified: no, name: 1-shot
type: accuracy
value: 66.06
verified: no, name: 3-shot
type: accuracy
value: 62.36
verified: no, name: 5-shot
type: accuracy
value: 61.87
verified: no, name: 10-shot
type: accuracy
value: 65.11
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: 1-shot
type: accuracy
value: 16.83
verified: no, name: 3-shot
type: accuracy
value: 43.21
verified: no, name: 5-shot
type: accuracy
value: 53.37
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: 0-shot
type: macro-f1
value: 39.18
verified: no, name: 1-shot
type: macro-f1
value: 96.59
verified: no, name: 3-shot
type: macro-f1
value: 97.63
verified: no, name: 5-shot
type: macro-f1
value: 97.97
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: 0-shot
type: macro-f1
value: 58.94
verified: no, name: 1-shot
type: macro-f1
value: 64.99
verified: no, name: 3-shot
type: macro-f1
value: 68.86
verified: no, name: 5-shot
type: macro-f1
value: 71.03
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: 0-shot
type: bleu
value: 26.89
verified: no, name: 1-shot
type: bleu
value: 31.18
verified: no, name: 3-shot
type: bleu
value: 30.65
verified: no, name: 5-shot
type: bleu
value: 23.91
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: 0-shot
type: bleu
value: 2.98
verified: no, name: 1-shot
type: bleu
value: 20.3
verified: no, name: 3-shot
type: bleu
value: 30.08
verified: no, name: 5-shot
type: bleu
value: 24.01
verified: no, task: type: text-generation
dataset: name: XQuAD_EM
type: XQuAD_EM
metrics: name: 0-shot
type: exact_match
value: 26.39
verified: no, name: 1-shot
type: exact_match
value: 23.87
verified: no, name: 3-shot
type: exact_match
value: 34.03
verified: no, name: 5-shot
type: exact_match
value: 38.99
verified: no, task: type: text-generation
dataset: name: XQuAD_F1
type: XQuAD_F1
metrics: name: 0-shot
type: f1
value: 43.28
verified: no, name: 1-shot
type: f1
value: 37.38
verified: no, name: 3-shot
type: f1
value: 54.08
verified: no, name: 5-shot
type: f1
value: 59.38
verified: no, task: type: text-generation
dataset: name: STS_Spearman
type: STS_Spearman
metrics: name: 1-shot
type: spearman
value: 73.46
verified: no, name: 3-shot
type: spearman
value: 73.55
verified: no, name: 5-shot
type: spearman
value: 72.7
verified: no, task: type: text-generation
dataset: name: STS_Pearson
type: STS_Pearson
metrics: name: 1-shot
type: pearson
value: 74.87
verified: no, name: 3-shot
type: pearson
value: 72.96
verified: no, name: 5-shot
type: pearson
value: 71.55
verified: no
Likes: 1 | All-time downloads: 4612
Created: 2024-10-10 14:22:12