Model: OpenLLM-Ro/RoLlama2-7b-Instruct-DPO
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/RoLlama2-7b-Instruct-2025-04-23, base_model:finetune:OpenLLM-Ro/RoLlama2-7b-Instruct-2025-04-23, license:cc-by-nc-4.0, model-index, region:us
Base models (finetune): id: OpenLLM-Ro/RoLlama2-7b-Instruct-2025-04-23
Card metadata: license: cc-by-nc-4.0
language: ro
base_model: OpenLLM-Ro/RoLlama2-7b-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/RoLlama2-7b-Instruct-DPO-2025-04-23
results: task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: Score
type: Score
value: 5.55
verified: no, task: type: text-generation
dataset: name: RoCulturaBench
type: RoCulturaBench
metrics: name: Score
type: Score
value: 5.24
verified: no, task: type: text-generation
dataset: name: Romanian_Academic_Benchmarks
type: Romanian_Academic_Benchmarks
metrics: name: Average accuracy
type: accuracy
value: 46.77
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: 48.16
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: Average accuracy
type: accuracy
value: 41.38
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: Average accuracy
type: accuracy
value: 64.15
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: Average accuracy
type: accuracy
value: 61.37
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: Average accuracy
type: accuracy
value: 18.35
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_truthfulqa
type: OpenLLM-Ro/ro_truthfulqa
metrics: name: Average accuracy
type: accuracy
value: 47.2
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: Average macro-f1
type: macro-f1
value: 97.77
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: Average macro-f1
type: macro-f1
value: 65.21
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: Average bleu
type: bleu
value: 25.48
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: Average bleu
type: bleu
value: 22.75
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average exact_match
type: exact_match
value: 38.28
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average f1
type: f1
value: 60.88
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average spearman
type: spearman
value: 66.76
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average pearson
type: pearson
value: 64.72
verified: no, task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: First turn
type: Score
value: 5.84
verified: no, name: Second turn
type: Score
value: 5.26
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: 45.93
verified: no, name: 1-shot
type: accuracy
value: 47.39
verified: no, name: 3-shot
type: accuracy
value: 47.73
verified: no, name: 5-shot
type: accuracy
value: 49.33
verified: no, name: 10-shot
type: accuracy
value: 49.89
verified: no, name: 25-shot
type: accuracy
value: 48.67
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: 0-shot
type: accuracy
value: 41.1
verified: no, name: 1-shot
type: accuracy
value: 40.66
verified: no, name: 3-shot
type: accuracy
value: 41.93
verified: no, name: 5-shot
type: accuracy
value: 41.84
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: 0-shot
type: accuracy
value: 64.09
verified: no, name: 1-shot
type: accuracy
value: 64.64
verified: no, name: 3-shot
type: accuracy
value: 64.64
verified: no, name: 5-shot
type: accuracy
value: 63.22
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: 0-shot
type: accuracy
value: 60.88
verified: no, name: 1-shot
type: accuracy
value: 60.48
verified: no, name: 3-shot
type: accuracy
value: 61.47
verified: no, name: 5-shot
type: accuracy
value: 61.77
verified: no, name: 10-shot
type: accuracy
value: 62.27
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: 1-shot
type: accuracy
value: 10.84
verified: no, name: 3-shot
type: accuracy
value: 21.83
verified: no, name: 5-shot
type: accuracy
value: 22.37
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: 0-shot
type: macro-f1
value: 97.63
verified: no, name: 1-shot
type: macro-f1
value: 96.83
verified: no, name: 3-shot
type: macro-f1
value: 98.27
verified: no, name: 5-shot
type: macro-f1
value: 98.37
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: 0-shot
type: macro-f1
value: 56.5
verified: no, name: 1-shot
type: macro-f1
value: 62.67
verified: no, name: 3-shot
type: macro-f1
value: 69.77
verified: no, name: 5-shot
type: macro-f1
value: 71.89
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: 0-shot
type: bleu
value: 18.74
verified: no, name: 1-shot
type: bleu
value: 28.11
verified: no, name: 3-shot
type: bleu
value: 27.86
verified: no, name: 5-shot
type: bleu
value: 27.23
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: 0-shot
type: bleu
value: 4.73
verified: no, name: 1-shot
type: bleu
value: 16.06
verified: no, name: 3-shot
type: bleu
value: 34.54
verified: no, name: 5-shot
type: bleu
value: 35.66
verified: no, task: type: text-generation
dataset: name: XQuAD_EM
type: XQuAD_EM
metrics: name: 0-shot
type: exact_match
value: 24.87
verified: no, name: 1-shot
type: exact_match
value: 39.75
verified: no, name: 3-shot
type: exact_match
value: 43.03
verified: no, name: 5-shot
type: exact_match
value: 45.46
verified: no, task: type: text-generation
dataset: name: XQuAD_F1
type: XQuAD_F1
metrics: name: 0-shot
type: f1
value: 48.39
verified: no, name: 1-shot
type: f1
value: 62.67
verified: no, name: 3-shot
type: f1
value: 65.21
verified: no, name: 5-shot
type: f1
value: 67.23
verified: no, task: type: text-generation
dataset: name: STS_Spearman
type: STS_Spearman
metrics: name: 1-shot
type: spearman
value: 71.25
verified: no, name: 3-shot
type: spearman
value: 61.42
verified: no, name: 5-shot
type: spearman
value: 67.61
verified: no, task: type: text-generation
dataset: name: STS_Pearson
type: STS_Pearson
metrics: name: 1-shot
type: pearson
value: 70.13
verified: no, name: 3-shot
type: pearson
value: 59.52
verified: no, name: 5-shot
type: pearson
value: 64.5
verified: no
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Created: 2024-10-09 12:45:27