Model: OpenLLM-Ro/RoGemma2-9b-Instruct-2024-10-09
Author: OpenLLM-Ro
Tags: safetensors, gemma2, ro, dataset:OpenLLM-Ro/ro_sft_alpaca, dataset:OpenLLM-Ro/ro_sft_alpaca_gpt4, dataset:OpenLLM-Ro/ro_sft_dolly, dataset:OpenLLM-Ro/ro_sft_selfinstruct_gpt4, dataset:OpenLLM-Ro/ro_sft_norobots, dataset:OpenLLM-Ro/ro_sft_orca, dataset:OpenLLM-Ro/ro_sft_camel, dataset:OpenLLM-Ro/ro_sft_oasst, dataset:OpenLLM-Ro/ro_sft_ultrachat, arxiv:2406.18266, base_model:google/gemma-2-9b-it, base_model:finetune:google/gemma-2-9b-it, license:cc-by-nc-4.0, model-index, region:us
Base models (finetune): id: google/gemma-2-9b-it
Card metadata: license: cc-by-nc-4.0
language: ro
base_model: google/gemma-2-9b-it
datasets: OpenLLM-Ro/ro_sft_alpaca, OpenLLM-Ro/ro_sft_alpaca_gpt4, OpenLLM-Ro/ro_sft_dolly, OpenLLM-Ro/ro_sft_selfinstruct_gpt4, OpenLLM-Ro/ro_sft_norobots, OpenLLM-Ro/ro_sft_orca, OpenLLM-Ro/ro_sft_camel, OpenLLM-Ro/ro_sft_oasst, OpenLLM-Ro/ro_sft_ultrachat
model-index: name: OpenLLM-Ro/RoGemma2-9b-Instruct-2024-10-09
results: task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: Score
type: Score
value: 6.08
verified: no, task: type: text-generation
dataset: name: RoCulturaBench
type: RoCulturaBench
metrics: name: Score
type: Score
value: 4.2
verified: no, task: type: text-generation
dataset: name: Romanian_Academic_Benchmarks
type: Romanian_Academic_Benchmarks
metrics: name: Average accuracy
type: accuracy
value: 57.06
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: 56.2
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: Average accuracy
type: accuracy
value: 62.98
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: Average accuracy
type: accuracy
value: 71
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: Average accuracy
type: accuracy
value: 60.52
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: Average accuracy
type: accuracy
value: 37.86
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_truthfulqa
type: OpenLLM-Ro/ro_truthfulqa
metrics: name: Average accuracy
type: accuracy
value: 53.77
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: Average macro-f1
type: macro-f1
value: 96.19
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: Average macro-f1
type: macro-f1
value: 62.49
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary_finetuned
type: LaRoSeDa_binary_finetuned
metrics: name: Average macro-f1
type: macro-f1
value: 98.93
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass_finetuned
type: LaRoSeDa_multiclass_finetuned
metrics: name: Average macro-f1
type: macro-f1
value: 88.33
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: Average bleu
type: bleu
value: 25.74
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: Average bleu
type: bleu
value: 23.16
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO_finetuned
type: WMT_EN-RO_finetuned
metrics: name: Average bleu
type: bleu
value: 28.43
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN_finetuned
type: WMT_RO-EN_finetuned
metrics: name: Average bleu
type: bleu
value: 40.94
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average exact_match
type: exact_match
value: 51.37
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average f1
type: f1
value: 70.74
verified: no, task: type: text-generation
dataset: name: XQuAD_finetuned
type: XQuAD_finetuned
metrics: name: Average exact_match
type: exact_match
value: 50
verified: no, task: type: text-generation
dataset: name: XQuAD_finetuned
type: XQuAD_finetuned
metrics: name: Average f1
type: f1
value: 64.1
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average spearman
type: spearman
value: 77.15
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average pearson
type: pearson
value: 77.1
verified: no, task: type: text-generation
dataset: name: STS_finetuned
type: STS_finetuned
metrics: name: Average spearman
type: spearman
value: 89.45
verified: no, task: type: text-generation
dataset: name: STS_finetuned
type: STS_finetuned
metrics: name: Average pearson
type: pearson
value: 89.89
verified: no, task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: First turn
type: Score
value: 6.78
verified: no, name: Second turn
type: Score
value: 5.39
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: 53.3
verified: no, name: 1-shot
type: accuracy
value: 54.93
verified: no, name: 3-shot
type: accuracy
value: 57.07
verified: no, name: 5-shot
type: accuracy
value: 57.33
verified: no, name: 10-shot
type: accuracy
value: 57.16
verified: no, name: 25-shot
type: accuracy
value: 57.41
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: 0-shot
type: accuracy
value: 59.2
verified: no, name: 1-shot
type: accuracy
value: 62.47
verified: no, name: 3-shot
type: accuracy
value: 64.97
verified: no, name: 5-shot
type: accuracy
value: 65.3
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: 0-shot
type: accuracy
value: 68.67
verified: no, name: 1-shot
type: accuracy
value: 71.03
verified: no, name: 3-shot
type: accuracy
value: 71.9
verified: no, name: 5-shot
type: accuracy
value: 72.38
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: 0-shot
type: accuracy
value: 62.29
verified: no, name: 1-shot
type: accuracy
value: 63.12
verified: no, name: 3-shot
type: accuracy
value: 61.34
verified: no, name: 5-shot
type: accuracy
value: 55.62
verified: no, name: 10-shot
type: accuracy
value: 60.25
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: 1-shot
type: accuracy
value: 36.77
verified: no, name: 3-shot
type: accuracy
value: 32.83
verified: no, name: 5-shot
type: accuracy
value: 43.97
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: 0-shot
type: macro-f1
value: 92.63
verified: no, name: 1-shot
type: macro-f1
value: 95.86
verified: no, name: 3-shot
type: macro-f1
value: 98.03
verified: no, name: 5-shot
type: macro-f1
value: 98.23
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: 0-shot
type: macro-f1
value: 38.51
verified: no, name: 1-shot
type: macro-f1
value: 69.7
verified: no, name: 3-shot
type: macro-f1
value: 71.38
verified: no, name: 5-shot
type: macro-f1
value: 70.37
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: 0-shot
type: bleu
value: 11.87
verified: no, name: 1-shot
type: bleu
value: 29.3
verified: no, name: 3-shot
type: bleu
value: 30.8
verified: no, name: 5-shot
type: bleu
value: 30.99
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: 0-shot
type: bleu
value: 1.03
verified: no, name: 1-shot
type: bleu
value: 22.25
verified: no, name: 3-shot
type: bleu
value: 32.75
verified: no, name: 5-shot
type: bleu
value: 36.61
verified: no, task: type: text-generation
dataset: name: XQuAD_EM
type: XQuAD_EM
metrics: name: 0-shot
type: exact_match
value: 52.6
verified: no, name: 1-shot
type: exact_match
value: 52.94
verified: no, name: 3-shot
type: exact_match
value: 49.66
verified: no, name: 5-shot
type: exact_match
value: 50.25
verified: no, task: type: text-generation
dataset: name: XQuAD_F1
type: XQuAD_F1
metrics: name: 0-shot
type: f1
value: 71.11
verified: no, name: 1-shot
type: f1
value: 71.67
verified: no, name: 3-shot
type: f1
value: 69.03
verified: no, name: 5-shot
type: f1
value: 71.15
verified: no, task: type: text-generation
dataset: name: STS_Spearman
type: STS_Spearman
metrics: name: 1-shot
type: spearman
value: 78.03
verified: no, name: 3-shot
type: spearman
value: 81.53
verified: no, name: 5-shot
type: spearman
value: 71.88
verified: no, task: type: text-generation
dataset: name: STS_Pearson
type: STS_Pearson
metrics: name: 1-shot
type: pearson
value: 79.09
verified: no, name: 3-shot
type: pearson
value: 80.89
verified: no, name: 5-shot
type: pearson
value: 71.33
verified: no
Likes: 1 | All-time downloads: 493
Created: 2024-10-10 14:22:36