Model: OpenLLM-Ro/RoMistral-7b-Instruct-DPO
Author: OpenLLM-Ro
Tags: safetensors, mistral, 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/RoMistral-7b-Instruct-2025-04-23, base_model:finetune:OpenLLM-Ro/RoMistral-7b-Instruct-2025-04-23, license:cc-by-nc-4.0, model-index, region:us
Base models (finetune): id: OpenLLM-Ro/RoMistral-7b-Instruct-2025-04-23
Card metadata: license: cc-by-nc-4.0
language: ro
base_model: OpenLLM-Ro/RoMistral-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/RoMistral-7b-Instruct-DPO-2025-04-23
results: task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: Score
type: Score
value: 6.61
verified: no, task: type: text-generation
dataset: name: RoCulturaBench
type: RoCulturaBench
metrics: name: Score
type: Score
value: 4.93
verified: no, task: type: text-generation
dataset: name: Romanian_Academic_Benchmarks
type: Romanian_Academic_Benchmarks
metrics: name: Average accuracy
type: accuracy
value: 56.62
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: 55.51
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: Average accuracy
type: accuracy
value: 52.61
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: Average accuracy
type: accuracy
value: 68.04
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: Average accuracy
type: accuracy
value: 64.97
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: Average accuracy
type: accuracy
value: 41.07
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_truthfulqa
type: OpenLLM-Ro/ro_truthfulqa
metrics: name: Average accuracy
type: accuracy
value: 57.55
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: Average macro-f1
type: macro-f1
value: 97.94
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: Average macro-f1
type: macro-f1
value: 66.13
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: Average bleu
type: bleu
value: 27.24
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: Average bleu
type: bleu
value: 18.41
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average exact_match
type: exact_match
value: 40.86
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average f1
type: f1
value: 62.24
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average spearman
type: spearman
value: 77.89
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average pearson
type: pearson
value: 76.4
verified: no, task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: First turn
type: Score
value: 6.86
verified: no, name: Second turn
type: Score
value: 6.35
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: 53.56
verified: no, name: 1-shot
type: accuracy
value: 52.96
verified: no, name: 3-shot
type: accuracy
value: 55.01
verified: no, name: 5-shot
type: accuracy
value: 56.64
verified: no, name: 10-shot
type: accuracy
value: 57.07
verified: no, name: 25-shot
type: accuracy
value: 57.84
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: 0-shot
type: accuracy
value: 53.37
verified: no, name: 1-shot
type: accuracy
value: 51.73
verified: no, name: 3-shot
type: accuracy
value: 52.64
verified: no, name: 5-shot
type: accuracy
value: 52.68
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: 0-shot
type: accuracy
value: 67.09
verified: no, name: 1-shot
type: accuracy
value: 67.72
verified: no, name: 3-shot
type: accuracy
value: 67.96
verified: no, name: 5-shot
type: accuracy
value: 69.38
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: 0-shot
type: accuracy
value: 65.04
verified: no, name: 1-shot
type: accuracy
value: 64
verified: no, name: 3-shot
type: accuracy
value: 64.82
verified: no, name: 5-shot
type: accuracy
value: 65.37
verified: no, name: 10-shot
type: accuracy
value: 65.6
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: 1-shot
type: accuracy
value: 34.19
verified: no, name: 3-shot
type: accuracy
value: 42.76
verified: no, name: 5-shot
type: accuracy
value: 46.25
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: 0-shot
type: macro-f1
value: 97.47
verified: no, name: 1-shot
type: macro-f1
value: 98
verified: no, name: 3-shot
type: macro-f1
value: 98.2
verified: no, name: 5-shot
type: macro-f1
value: 98.1
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: 0-shot
type: macro-f1
value: 56.61
verified: no, name: 1-shot
type: macro-f1
value: 68.5
verified: no, name: 3-shot
type: macro-f1
value: 68.86
verified: no, name: 5-shot
type: macro-f1
value: 70.57
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: 0-shot
type: bleu
value: 26.03
verified: no, name: 1-shot
type: bleu
value: 27.66
verified: no, name: 3-shot
type: bleu
value: 27.81
verified: no, name: 5-shot
type: bleu
value: 27.46
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: 0-shot
type: bleu
value: 2.8
verified: no, name: 1-shot
type: bleu
value: 8.45
verified: no, name: 3-shot
type: bleu
value: 28.81
verified: no, name: 5-shot
type: bleu
value: 33.58
verified: no, task: type: text-generation
dataset: name: XQuAD_EM
type: XQuAD_EM
metrics: name: 0-shot
type: exact_match
value: 26.05
verified: no, name: 1-shot
type: exact_match
value: 41.93
verified: no, name: 3-shot
type: exact_match
value: 47.31
verified: no, name: 5-shot
type: exact_match
value: 48.15
verified: no, task: type: text-generation
dataset: name: XQuAD_F1
type: XQuAD_F1
metrics: name: 0-shot
type: f1
value: 49.68
verified: no, name: 1-shot
type: f1
value: 62.52
verified: no, name: 3-shot
type: f1
value: 67.35
verified: no, name: 5-shot
type: f1
value: 69.42
verified: no, task: type: text-generation
dataset: name: STS_Spearman
type: STS_Spearman
metrics: name: 1-shot
type: spearman
value: 77.24
verified: no, name: 3-shot
type: spearman
value: 77.1
verified: no, name: 5-shot
type: spearman
value: 79.34
verified: no, task: type: text-generation
dataset: name: STS_Pearson
type: STS_Pearson
metrics: name: 1-shot
type: pearson
value: 76.32
verified: no, name: 3-shot
type: pearson
value: 75.51
verified: no, name: 5-shot
type: pearson
value: 77.36
verified: no
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Created: 2024-10-09 17:27:43