Model: OpenLLM-Ro/RoLlama3-8b-Instruct-DPO-2025-04-23
Author: OpenLLM-Ro
Tags: safetensors, llama, 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/RoLlama3-8b-Instruct-2025-04-23, base_model:finetune:OpenLLM-Ro/RoLlama3-8b-Instruct-2025-04-23, license:cc-by-nc-4.0, model-index, region:us
Base models (finetune): id: OpenLLM-Ro/RoLlama3-8b-Instruct-2025-04-23
Card metadata: license: cc-by-nc-4.0
language: ro
base_model: OpenLLM-Ro/RoLlama3-8b-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/RoLlama3-8b-Instruct-DPO-2025-04-23
results: task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: Score
type: Score
value: 6.67
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: 55.86
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: 52.26
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: Average accuracy
type: accuracy
value: 55.35
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: Average accuracy
type: accuracy
value: 66.62
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: Average accuracy
type: accuracy
value: 59.93
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: Average accuracy
type: accuracy
value: 43.95
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_truthfulqa
type: OpenLLM-Ro/ro_truthfulqa
metrics: name: Average accuracy
type: accuracy
value: 57.06
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: Average macro-f1
type: macro-f1
value: 97.6
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: Average macro-f1
type: macro-f1
value: 62.16
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: Average bleu
type: bleu
value: 18.14
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: Average bleu
type: bleu
value: 14.13
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average exact_match
type: exact_match
value: 30.65
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average f1
type: f1
value: 46.29
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average spearman
type: spearman
value: 67.62
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average pearson
type: pearson
value: 67.82
verified: no, task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: First turn
type: Score
value: 6.81
verified: no, name: Second turn
type: Score
value: 6.54
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: 48.76
verified: no, name: 1-shot
type: accuracy
value: 49.7
verified: no, name: 3-shot
type: accuracy
value: 52.7
verified: no, name: 5-shot
type: accuracy
value: 54.07
verified: no, name: 10-shot
type: accuracy
value: 53.9
verified: no, name: 25-shot
type: accuracy
value: 54.41
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: 0-shot
type: accuracy
value: 55.78
verified: no, name: 1-shot
type: accuracy
value: 55.09
verified: no, name: 3-shot
type: accuracy
value: 55.39
verified: no, name: 5-shot
type: accuracy
value: 55.15
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: 0-shot
type: accuracy
value: 65.19
verified: no, name: 1-shot
type: accuracy
value: 64.25
verified: no, name: 3-shot
type: accuracy
value: 68.59
verified: no, name: 5-shot
type: accuracy
value: 68.43
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: 0-shot
type: accuracy
value: 60.31
verified: no, name: 1-shot
type: accuracy
value: 59.88
verified: no, name: 3-shot
type: accuracy
value: 59.17
verified: no, name: 5-shot
type: accuracy
value: 59.89
verified: no, name: 10-shot
type: accuracy
value: 60.4
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: 1-shot
type: accuracy
value: 32.37
verified: no, name: 3-shot
type: accuracy
value: 46.7
verified: no, name: 5-shot
type: accuracy
value: 52.77
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: 0-shot
type: macro-f1
value: 95.79
verified: no, name: 1-shot
type: macro-f1
value: 97.87
verified: no, name: 3-shot
type: macro-f1
value: 98.3
verified: no, name: 5-shot
type: macro-f1
value: 98.43
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: 0-shot
type: macro-f1
value: 64.86
verified: no, name: 1-shot
type: macro-f1
value: 64.46
verified: no, name: 3-shot
type: macro-f1
value: 58.36
verified: no, name: 5-shot
type: macro-f1
value: 60.97
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: 0-shot
type: bleu
value: 5.57
verified: no, name: 1-shot
type: bleu
value: 26.05
verified: no, name: 3-shot
type: bleu
value: 24.71
verified: no, name: 5-shot
type: bleu
value: 16.22
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: 0-shot
type: bleu
value: 3.01
verified: no, name: 1-shot
type: bleu
value: 22.63
verified: no, name: 3-shot
type: bleu
value: 19.43
verified: no, name: 5-shot
type: bleu
value: 11.47
verified: no, task: type: text-generation
dataset: name: XQuAD_EM
type: XQuAD_EM
metrics: name: 0-shot
type: exact_match
value: 16.55
verified: no, name: 1-shot
type: exact_match
value: 31.76
verified: no, name: 3-shot
type: exact_match
value: 35.97
verified: no, name: 5-shot
type: exact_match
value: 38.32
verified: no, task: type: text-generation
dataset: name: XQuAD_F1
type: XQuAD_F1
metrics: name: 0-shot
type: f1
value: 33.31
verified: no, name: 1-shot
type: f1
value: 46.85
verified: no, name: 3-shot
type: f1
value: 50.73
verified: no, name: 5-shot
type: f1
value: 54.29
verified: no, task: type: text-generation
dataset: name: STS_Spearman
type: STS_Spearman
metrics: name: 1-shot
type: spearman
value: 66.56
verified: no, name: 3-shot
type: spearman
value: 58.64
verified: no, name: 5-shot
type: spearman
value: 77.66
verified: no, task: type: text-generation
dataset: name: STS_Pearson
type: STS_Pearson
metrics: name: 1-shot
type: pearson
value: 70.09
verified: no, name: 3-shot
type: pearson
value: 56.39
verified: no, name: 5-shot
type: pearson
value: 76.97
verified: no
Likes: 0 | All-time downloads: 19
Created: 2025-03-16 19:24:32