Model: OpenLLM-Ro/RoLlama3.1-8b-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/RoLlama3.1-8b-Instruct-2024-10-09, base_model:finetune:OpenLLM-Ro/RoLlama3.1-8b-Instruct-2024-10-09, license:cc-by-nc-4.0, model-index, region:us
Base models (finetune): id: OpenLLM-Ro/RoLlama3.1-8b-Instruct-2024-10-09
Card metadata: license: cc-by-nc-4.0
language: ro
base_model: OpenLLM-Ro/RoLlama3.1-8b-Instruct-2024-10-09
datasets: OpenLLM-Ro/ro_dpo_helpsteer
model-index: name: OpenLLM-Ro/RoLlama3.1-8b-Instruct-DPO-2024-10-09
results: task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: Score
type: Score
value: 6.21
verified: no, task: type: text-generation
dataset: name: RoCulturaBench
type: RoCulturaBench
metrics: name: Score
type: Score
value: 4.42
verified: no, task: type: text-generation
dataset: name: Romanian_Academic_Benchmarks
type: Romanian_Academic_Benchmarks
metrics: name: Average accuracy
type: accuracy
value: 52.74
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: 44.84
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: Average accuracy
type: accuracy
value: 55.06
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: Average accuracy
type: accuracy
value: 65.87
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: Average accuracy
type: accuracy
value: 58.67
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: Average accuracy
type: accuracy
value: 44.17
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_truthfulqa
type: OpenLLM-Ro/ro_truthfulqa
metrics: name: Average accuracy
type: accuracy
value: 47.82
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: Average macro-f1
type: macro-f1
value: 96.1
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: Average macro-f1
type: macro-f1
value: 55.37
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: 21.29
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: Average bleu
type: bleu
value: 21.86
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: 21.58
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average f1
type: f1
value: 36.54
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: 78.01
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average pearson
type: pearson
value: 77.98
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: 6.74
verified: no, name: Second turn
type: Score
value: 5.69
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: 41.82
verified: no, name: 1-shot
type: accuracy
value: 43.7
verified: no, name: 3-shot
type: accuracy
value: 45.33
verified: no, name: 5-shot
type: accuracy
value: 46.1
verified: no, name: 10-shot
type: accuracy
value: 45.76
verified: no, name: 25-shot
type: accuracy
value: 46.36
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: 0-shot
type: accuracy
value: 53.75
verified: no, name: 1-shot
type: accuracy
value: 54.94
verified: no, name: 3-shot
type: accuracy
value: 56.07
verified: no, name: 5-shot
type: accuracy
value: 55.47
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: 0-shot
type: accuracy
value: 64.4
verified: no, name: 1-shot
type: accuracy
value: 66.22
verified: no, name: 3-shot
type: accuracy
value: 65.75
verified: no, name: 5-shot
type: accuracy
value: 67.09
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: 0-shot
type: accuracy
value: 57.25
verified: no, name: 1-shot
type: accuracy
value: 58
verified: no, name: 3-shot
type: accuracy
value: 59.23
verified: no, name: 5-shot
type: accuracy
value: 59.3
verified: no, name: 10-shot
type: accuracy
value: 59.56
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: 1-shot
type: accuracy
value: 36.47
verified: no, name: 3-shot
type: accuracy
value: 45.94
verified: no, name: 5-shot
type: accuracy
value: 50.11
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: 0-shot
type: macro-f1
value: 93.11
verified: no, name: 1-shot
type: macro-f1
value: 96.06
verified: no, name: 3-shot
type: macro-f1
value: 97.53
verified: no, name: 5-shot
type: macro-f1
value: 97.7
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: 0-shot
type: macro-f1
value: 65.61
verified: no, name: 1-shot
type: macro-f1
value: 55.73
verified: no, name: 3-shot
type: macro-f1
value: 46.33
verified: no, name: 5-shot
type: macro-f1
value: 53.82
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: 0-shot
type: bleu
value: 6.89
verified: no, name: 1-shot
type: bleu
value: 26.62
verified: no, name: 3-shot
type: bleu
value: 25.7
verified: no, name: 5-shot
type: bleu
value: 25.94
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: 0-shot
type: bleu
value: 2.16
verified: no, name: 1-shot
type: bleu
value: 16.65
verified: no, name: 3-shot
type: bleu
value: 33.41
verified: no, name: 5-shot
type: bleu
value: 35.22
verified: no, task: type: text-generation
dataset: name: XQuAD_EM
type: XQuAD_EM
metrics: name: 0-shot
type: exact_match
value: 8.99
verified: no, name: 1-shot
type: exact_match
value: 35.88
verified: no, name: 3-shot
type: exact_match
value: 31.26
verified: no, name: 5-shot
type: exact_match
value: 10.17
verified: no, task: type: text-generation
dataset: name: XQuAD_F1
type: XQuAD_F1
metrics: name: 0-shot
type: f1
value: 20
verified: no, name: 1-shot
type: f1
value: 59.41
verified: no, name: 3-shot
type: f1
value: 48.41
verified: no, name: 5-shot
type: f1
value: 18.33
verified: no, task: type: text-generation
dataset: name: STS_Spearman
type: STS_Spearman
metrics: name: 1-shot
type: spearman
value: 78.1
verified: no, name: 3-shot
type: spearman
value: 77.81
verified: no, name: 5-shot
type: spearman
value: 78.11
verified: no, task: type: text-generation
dataset: name: STS_Pearson
type: STS_Pearson
metrics: name: 1-shot
type: pearson
value: 78.3
verified: no, name: 3-shot
type: pearson
value: 77.58
verified: no, name: 5-shot
type: pearson
value: 78.06
verified: no
Likes: 1 | All-time downloads: 396
Created: 2024-10-01 13:44:14