Model: OpenLLM-Ro/RoMistral-7b-Instruct-DPO-2024-10-09
Author: OpenLLM-Ro
Tags: safetensors, mistral, ro, dataset:OpenLLM-Ro/ro_dpo_helpsteer, arxiv:2406.18266, base_model:OpenLLM-Ro/RoMistral-7b-Instruct-2024-10-09, base_model:finetune:OpenLLM-Ro/RoMistral-7b-Instruct-2024-10-09, license:cc-by-nc-4.0, model-index, region:us
Base models (finetune): id: OpenLLM-Ro/RoMistral-7b-Instruct-2024-10-09
Card metadata: license: cc-by-nc-4.0
language: ro
base_model: OpenLLM-Ro/RoMistral-7b-Instruct-2024-10-09
datasets: OpenLLM-Ro/ro_dpo_helpsteer
model-index: name: OpenLLM-Ro/RoMistral-7b-Instruct-DPO-2024-10-09
results: task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: Score
type: Score
value: 5.88
verified: no, task: type: text-generation
dataset: name: RoCulturaBench
type: RoCulturaBench
metrics: name: Score
type: Score
value: 4.72
verified: no, task: type: text-generation
dataset: name: Romanian_Academic_Benchmarks
type: Romanian_Academic_Benchmarks
metrics: name: Average accuracy
type: accuracy
value: 51.95
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: 50.73
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: Average accuracy
type: accuracy
value: 47.88
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: Average accuracy
type: accuracy
value: 68.41
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: Average accuracy
type: accuracy
value: 62.27
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: Average accuracy
type: accuracy
value: 32.27
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_truthfulqa
type: OpenLLM-Ro/ro_truthfulqa
metrics: name: Average accuracy
type: accuracy
value: 50.12
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: Average macro-f1
type: macro-f1
value: 82.13
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: Average macro-f1
type: macro-f1
value: 65.24
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary_finetuned
type: LaRoSeDa_binary_finetuned
metrics: name: Average macro-f1
type: macro-f1
value: 0
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass_finetuned
type: LaRoSeDa_multiclass_finetuned
metrics: name: Average macro-f1
type: macro-f1
value: 0
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: Average bleu
type: bleu
value: 26.25
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: Average bleu
type: bleu
value: 6.09
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO_finetuned
type: WMT_EN-RO_finetuned
metrics: name: Average bleu
type: bleu
value: 0
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN_finetuned
type: WMT_RO-EN_finetuned
metrics: name: Average bleu
type: bleu
value: 0
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average exact_match
type: exact_match
value: 23.4
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average f1
type: f1
value: 45.8
verified: no, task: type: text-generation
dataset: name: XQuAD_finetuned
type: XQuAD_finetuned
metrics: name: Average exact_match
type: exact_match
value: 0
verified: no, task: type: text-generation
dataset: name: XQuAD_finetuned
type: XQuAD_finetuned
metrics: name: Average f1
type: f1
value: 0
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average spearman
type: spearman
value: 77.33
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average pearson
type: pearson
value: 76.6
verified: no, task: type: text-generation
dataset: name: STS_finetuned
type: STS_finetuned
metrics: name: Average spearman
type: spearman
value: 0
verified: no, task: type: text-generation
dataset: name: STS_finetuned
type: STS_finetuned
metrics: name: Average pearson
type: pearson
value: 0
verified: no, task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: First turn
type: Score
value: 6.44
verified: no, name: Second turn
type: Score
value: 5.33
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: 51.67
verified: no, name: 1-shot
type: accuracy
value: 45.59
verified: no, name: 3-shot
type: accuracy
value: 48.24
verified: no, name: 5-shot
type: accuracy
value: 50.21
verified: no, name: 10-shot
type: accuracy
value: 54.07
verified: no, name: 25-shot
type: accuracy
value: 54.58
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: 0-shot
type: accuracy
value: 40.86
verified: no, name: 1-shot
type: accuracy
value: 48.67
verified: no, name: 3-shot
type: accuracy
value: 51.26
verified: no, name: 5-shot
type: accuracy
value: 50.75
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: 0-shot
type: accuracy
value: 64.8
verified: no, name: 1-shot
type: accuracy
value: 68.19
verified: no, name: 3-shot
type: accuracy
value: 70.09
verified: no, name: 5-shot
type: accuracy
value: 70.56
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: 0-shot
type: accuracy
value: 61.96
verified: no, name: 1-shot
type: accuracy
value: 60.88
verified: no, name: 3-shot
type: accuracy
value: 61.86
verified: no, name: 5-shot
type: accuracy
value: 62.73
verified: no, name: 10-shot
type: accuracy
value: 63.93
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: 1-shot
type: accuracy
value: 23.28
verified: no, name: 3-shot
type: accuracy
value: 34.95
verified: no, name: 5-shot
type: accuracy
value: 38.59
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: 0-shot
type: macro-f1
value: 34.36
verified: no, name: 1-shot
type: macro-f1
value: 97.87
verified: no, name: 3-shot
type: macro-f1
value: 98.4
verified: no, name: 5-shot
type: macro-f1
value: 97.9
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: 0-shot
type: macro-f1
value: 66.17
verified: no, name: 1-shot
type: macro-f1
value: 65.93
verified: no, name: 3-shot
type: macro-f1
value: 61.86
verified: no, name: 5-shot
type: macro-f1
value: 66.99
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: 0-shot
type: bleu
value: 18.43
verified: no, name: 1-shot
type: bleu
value: 28.25
verified: no, name: 3-shot
type: bleu
value: 29.45
verified: no, name: 5-shot
type: bleu
value: 28.88
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: 2.9
verified: no, name: 3-shot
type: bleu
value: 6.63
verified: no, name: 5-shot
type: bleu
value: 12.04
verified: no, task: type: text-generation
dataset: name: XQuAD_EM
type: XQuAD_EM
metrics: name: 0-shot
type: exact_match
value: 5.04
verified: no, name: 1-shot
type: exact_match
value: 22.44
verified: no, name: 3-shot
type: exact_match
value: 30.42
verified: no, name: 5-shot
type: exact_match
value: 35.71
verified: no, task: type: text-generation
dataset: name: XQuAD_F1
type: XQuAD_F1
metrics: name: 0-shot
type: f1
value: 23.36
verified: no, name: 1-shot
type: f1
value: 44.63
verified: no, name: 3-shot
type: f1
value: 54.78
verified: no, name: 5-shot
type: f1
value: 60.43
verified: no, task: type: text-generation
dataset: name: STS_Spearman
type: STS_Spearman
metrics: name: 1-shot
type: spearman
value: 73.38
verified: no, name: 3-shot
type: spearman
value: 78.93
verified: no, name: 5-shot
type: spearman
value: 79.68
verified: no, task: type: text-generation
dataset: name: STS_Pearson
type: STS_Pearson
metrics: name: 1-shot
type: pearson
value: 73.93
verified: no, name: 3-shot
type: pearson
value: 77.69
verified: no, name: 5-shot
type: pearson
value: 78.17
verified: no
Likes: 0 | All-time downloads: 17
Created: 2024-09-23 12:15:13