Model: OpenLLM-Ro/RoLlama3-8b-Instruct-DPO-2024-10-09
Author: OpenLLM-Ro
Tags: safetensors, llama, ro, dataset:OpenLLM-Ro/ro_dpo_helpsteer, arxiv:2406.18266, base_model:OpenLLM-Ro/RoLlama3-8b-Instruct-2024-10-09, base_model:finetune:OpenLLM-Ro/RoLlama3-8b-Instruct-2024-10-09, license:cc-by-nc-4.0, model-index, region:us
Base models (finetune): id: OpenLLM-Ro/RoLlama3-8b-Instruct-2024-10-09
Card metadata: license: cc-by-nc-4.0
language: ro
base_model: OpenLLM-Ro/RoLlama3-8b-Instruct-2024-10-09
datasets: OpenLLM-Ro/ro_dpo_helpsteer
model-index: name: OpenLLM-Ro/RoLlama3-8b-Instruct-DPO-2024-10-09
results: task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: Score
type: Score
value: 5.87
verified: no, task: type: text-generation
dataset: name: RoCulturaBench
type: RoCulturaBench
metrics: name: Score
type: Score
value: 4.4
verified: no, task: type: text-generation
dataset: name: Romanian_Academic_Benchmarks
type: Romanian_Academic_Benchmarks
metrics: name: Average accuracy
type: accuracy
value: 49.96
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: 46.29
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: Average accuracy
type: accuracy
value: 53.29
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: Average accuracy
type: accuracy
value: 65.57
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: Average accuracy
type: accuracy
value: 58.15
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: Average accuracy
type: accuracy
value: 34.77
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_truthfulqa
type: OpenLLM-Ro/ro_truthfulqa
metrics: name: Average accuracy
type: accuracy
value: 41.7
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: Average macro-f1
type: macro-f1
value: 97.48
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: Average macro-f1
type: macro-f1
value: 54
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: 22.09
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: Average bleu
type: bleu
value: 23
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: 26.05
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average f1
type: f1
value: 42.77
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: 79.64
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average pearson
type: pearson
value: 79.52
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: 6.22
verified: no, name: Second turn
type: Score
value: 5.49
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: 44.56
verified: no, name: 1-shot
type: accuracy
value: 45.42
verified: no, name: 3-shot
type: accuracy
value: 46.1
verified: no, name: 5-shot
type: accuracy
value: 46.27
verified: no, name: 10-shot
type: accuracy
value: 46.96
verified: no, name: 25-shot
type: accuracy
value: 48.41
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: 0-shot
type: accuracy
value: 52.33
verified: no, name: 1-shot
type: accuracy
value: 52.86
verified: no, name: 3-shot
type: accuracy
value: 54.06
verified: no, name: 5-shot
type: accuracy
value: 53.9
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: 0-shot
type: accuracy
value: 64.33
verified: no, name: 1-shot
type: accuracy
value: 64.72
verified: no, name: 3-shot
type: accuracy
value: 66.3
verified: no, name: 5-shot
type: accuracy
value: 66.93
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: 0-shot
type: accuracy
value: 57.45
verified: no, name: 1-shot
type: accuracy
value: 57.65
verified: no, name: 3-shot
type: accuracy
value: 58.18
verified: no, name: 5-shot
type: accuracy
value: 58.64
verified: no, name: 10-shot
type: accuracy
value: 58.85
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: 1-shot
type: accuracy
value: 32.52
verified: no, name: 3-shot
type: accuracy
value: 33.97
verified: no, name: 5-shot
type: accuracy
value: 37.83
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: 0-shot
type: macro-f1
value: 97.67
verified: no, name: 1-shot
type: macro-f1
value: 97.07
verified: no, name: 3-shot
type: macro-f1
value: 97.4
verified: no, name: 5-shot
type: macro-f1
value: 97.8
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: 0-shot
type: macro-f1
value: 58.49
verified: no, name: 1-shot
type: macro-f1
value: 55.93
verified: no, name: 3-shot
type: macro-f1
value: 47.7
verified: no, name: 5-shot
type: macro-f1
value: 53.89
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: 0-shot
type: bleu
value: 8.63
verified: no, name: 1-shot
type: bleu
value: 25.89
verified: no, name: 3-shot
type: bleu
value: 26.79
verified: no, name: 5-shot
type: bleu
value: 27.05
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: 0-shot
type: bleu
value: 3.56
verified: no, name: 1-shot
type: bleu
value: 20.66
verified: no, name: 3-shot
type: bleu
value: 33.56
verified: no, name: 5-shot
type: bleu
value: 34.22
verified: no, task: type: text-generation
dataset: name: XQuAD_EM
type: XQuAD_EM
metrics: name: 0-shot
type: exact_match
value: 11.26
verified: no, name: 1-shot
type: exact_match
value: 34.29
verified: no, name: 3-shot
type: exact_match
value: 29.24
verified: no, name: 5-shot
type: exact_match
value: 29.41
verified: no, task: type: text-generation
dataset: name: XQuAD_F1
type: XQuAD_F1
metrics: name: 0-shot
type: f1
value: 22.98
verified: no, name: 1-shot
type: f1
value: 54.48
verified: no, name: 3-shot
type: f1
value: 46.18
verified: no, name: 5-shot
type: f1
value: 47.43
verified: no, task: type: text-generation
dataset: name: STS_Spearman
type: STS_Spearman
metrics: name: 1-shot
type: spearman
value: 79.99
verified: no, name: 3-shot
type: spearman
value: 78.42
verified: no, name: 5-shot
type: spearman
value: 80.51
verified: no, task: type: text-generation
dataset: name: STS_Pearson
type: STS_Pearson
metrics: name: 1-shot
type: pearson
value: 80.59
verified: no, name: 3-shot
type: pearson
value: 78.11
verified: no, name: 5-shot
type: pearson
value: 79.87
verified: no
Likes: 1 | All-time downloads: 14
Created: 2024-09-23 13:32:26