Model: OpenLLM-Ro/RoGemma-7b-Instruct-DPO
Author: OpenLLM-Ro
Tags: safetensors, gemma, ro, dataset:OpenLLM-Ro/ro_dpo_helpsteer, arxiv:2406.18266, base_model:OpenLLM-Ro/RoGemma-7b-Instruct-2024-10-09, base_model:finetune:OpenLLM-Ro/RoGemma-7b-Instruct-2024-10-09, license:cc-by-nc-4.0, model-index, region:us
Base models (finetune): id: OpenLLM-Ro/RoGemma-7b-Instruct-2024-10-09
Card metadata: license: cc-by-nc-4.0
language: ro
base_model: OpenLLM-Ro/RoGemma-7b-Instruct-2024-10-09
datasets: OpenLLM-Ro/ro_dpo_helpsteer
model-index: name: OpenLLM-Ro/RoGemma-7b-Instruct-DPO-2024-10-09
results: task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: Score
type: Score
value: 5.47
verified: no, task: type: text-generation
dataset: name: RoCulturaBench
type: RoCulturaBench
metrics: name: Score
type: Score
value: 3.94
verified: no, task: type: text-generation
dataset: name: Romanian_Academic_Benchmarks
type: Romanian_Academic_Benchmarks
metrics: name: Average accuracy
type: accuracy
value: 48.27
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: 46.66
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: Average accuracy
type: accuracy
value: 54.45
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: Average accuracy
type: accuracy
value: 63.73
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: Average accuracy
type: accuracy
value: 49.33
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: Average accuracy
type: accuracy
value: 34.98
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_truthfulqa
type: OpenLLM-Ro/ro_truthfulqa
metrics: name: Average accuracy
type: accuracy
value: 40.45
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: Average macro-f1
type: macro-f1
value: 96.45
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: Average macro-f1
type: macro-f1
value: 63.23
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: 20.73
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: Average bleu
type: bleu
value: 7.87
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: 19.14
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average f1
type: f1
value: 38.1
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: 69.38
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average pearson
type: pearson
value: 69.34
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: 5.92
verified: no, name: Second turn
type: Score
value: 5.03
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: 48.84
verified: no, name: 1-shot
type: accuracy
value: 46.27
verified: no, name: 3-shot
type: accuracy
value: 44.64
verified: no, name: 5-shot
type: accuracy
value: 45.76
verified: no, name: 10-shot
type: accuracy
value: 46.62
verified: no, name: 25-shot
type: accuracy
value: 47.81
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: 0-shot
type: accuracy
value: 52.47
verified: no, name: 1-shot
type: accuracy
value: 54.4
verified: no, name: 3-shot
type: accuracy
value: 55.63
verified: no, name: 5-shot
type: accuracy
value: 55.3
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: 0-shot
type: accuracy
value: 60.54
verified: no, name: 1-shot
type: accuracy
value: 63.54
verified: no, name: 3-shot
type: accuracy
value: 63.46
verified: no, name: 5-shot
type: accuracy
value: 67.4
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: 0-shot
type: accuracy
value: 52.67
verified: no, name: 1-shot
type: accuracy
value: 50.89
verified: no, name: 3-shot
type: accuracy
value: 47.85
verified: no, name: 5-shot
type: accuracy
value: 45.98
verified: no, name: 10-shot
type: accuracy
value: 49.26
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: 1-shot
type: accuracy
value: 27.45
verified: no, name: 3-shot
type: accuracy
value: 36.32
verified: no, name: 5-shot
type: accuracy
value: 41.17
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: 0-shot
type: macro-f1
value: 95.9
verified: no, name: 1-shot
type: macro-f1
value: 95.36
verified: no, name: 3-shot
type: macro-f1
value: 97.13
verified: no, name: 5-shot
type: macro-f1
value: 97.43
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: 0-shot
type: macro-f1
value: 66.82
verified: no, name: 1-shot
type: macro-f1
value: 59.47
verified: no, name: 3-shot
type: macro-f1
value: 62.88
verified: no, name: 5-shot
type: macro-f1
value: 63.77
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: 0-shot
type: bleu
value: 8
verified: no, name: 1-shot
type: bleu
value: 24.37
verified: no, name: 3-shot
type: bleu
value: 26.19
verified: no, name: 5-shot
type: bleu
value: 24.36
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: 0-shot
type: bleu
value: 0.76
verified: no, name: 1-shot
type: bleu
value: 4.67
verified: no, name: 3-shot
type: bleu
value: 13.33
verified: no, name: 5-shot
type: bleu
value: 12.73
verified: no, task: type: text-generation
dataset: name: XQuAD_EM
type: XQuAD_EM
metrics: name: 0-shot
type: exact_match
value: 14.37
verified: no, name: 1-shot
type: exact_match
value: 19.08
verified: no, name: 3-shot
type: exact_match
value: 17.73
verified: no, name: 5-shot
type: exact_match
value: 25.38
verified: no, task: type: text-generation
dataset: name: XQuAD_F1
type: XQuAD_F1
metrics: name: 0-shot
type: f1
value: 33.52
verified: no, name: 1-shot
type: f1
value: 37.27
verified: no, name: 3-shot
type: f1
value: 35.77
verified: no, name: 5-shot
type: f1
value: 45.84
verified: no, task: type: text-generation
dataset: name: STS_Spearman
type: STS_Spearman
metrics: name: 1-shot
type: spearman
value: 54.5
verified: no, name: 3-shot
type: spearman
value: 74.93
verified: no, name: 5-shot
type: spearman
value: 78.7
verified: no, task: type: text-generation
dataset: name: STS_Pearson
type: STS_Pearson
metrics: name: 1-shot
type: pearson
value: 54.91
verified: no, name: 3-shot
type: pearson
value: 74.98
verified: no, name: 5-shot
type: pearson
value: 78.13
verified: no
Likes: 1 | All-time downloads: 22
Created: 2024-10-10 14:02:58