Model: OpenLLM-Ro/RoLlama3-8b-Instruct-2024-10-09
Author: OpenLLM-Ro
Tags: safetensors, llama, 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:meta-llama/Meta-Llama-3-8B-Instruct, base_model:finetune:meta-llama/Meta-Llama-3-8B-Instruct, license:cc-by-nc-4.0, model-index, region:us
Base models (finetune): id: meta-llama/Meta-Llama-3-8B-Instruct
Card metadata: license: cc-by-nc-4.0
language: ro
base_model: meta-llama/Meta-Llama-3-8B-Instruct
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/RoLlama3-8b-Instruct-2024-10-09
results: task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: Score
type: Score
value: 5.38
verified: no, task: type: text-generation
dataset: name: RoCulturaBench
type: RoCulturaBench
metrics: name: Score
type: Score
value: 3.81
verified: no, task: type: text-generation
dataset: name: Romanian_Academic_Benchmarks
type: Romanian_Academic_Benchmarks
metrics: name: Average accuracy
type: accuracy
value: 52.21
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: 47.94
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: Average accuracy
type: accuracy
value: 53.5
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: Average accuracy
type: accuracy
value: 66.06
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: Average accuracy
type: accuracy
value: 59.72
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: Average accuracy
type: accuracy
value: 40.16
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_truthfulqa
type: OpenLLM-Ro/ro_truthfulqa
metrics: name: Average accuracy
type: accuracy
value: 45.9
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: Average macro-f1
type: macro-f1
value: 95.58
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: Average macro-f1
type: macro-f1
value: 61.2
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary_finetuned
type: LaRoSeDa_binary_finetuned
metrics: name: Average macro-f1
type: macro-f1
value: 96.46
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass_finetuned
type: LaRoSeDa_multiclass_finetuned
metrics: name: Average macro-f1
type: macro-f1
value: 87.26
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: Average bleu
type: bleu
value: 22.92
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: Average bleu
type: bleu
value: 24.28
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO_finetuned
type: WMT_EN-RO_finetuned
metrics: name: Average bleu
type: bleu
value: 27.31
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN_finetuned
type: WMT_RO-EN_finetuned
metrics: name: Average bleu
type: bleu
value: 40.52
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average exact_match
type: exact_match
value: 18.89
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average f1
type: f1
value: 31.79
verified: no, task: type: text-generation
dataset: name: XQuAD_finetuned
type: XQuAD_finetuned
metrics: name: Average exact_match
type: exact_match
value: 50.84
verified: no, task: type: text-generation
dataset: name: XQuAD_finetuned
type: XQuAD_finetuned
metrics: name: Average f1
type: f1
value: 65.18
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average spearman
type: spearman
value: 77.6
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average pearson
type: pearson
value: 76.86
verified: no, task: type: text-generation
dataset: name: STS_finetuned
type: STS_finetuned
metrics: name: Average spearman
type: spearman
value: 86.7
verified: no, task: type: text-generation
dataset: name: STS_finetuned
type: STS_finetuned
metrics: name: Average pearson
type: pearson
value: 87.09
verified: no, task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: First turn
type: Score
value: 6.09
verified: no, name: Second turn
type: Score
value: 4.67
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: 46.02
verified: no, name: 1-shot
type: accuracy
value: 47.39
verified: no, name: 3-shot
type: accuracy
value: 47.73
verified: no, name: 5-shot
type: accuracy
value: 48.24
verified: no, name: 10-shot
type: accuracy
value: 48.33
verified: no, name: 25-shot
type: accuracy
value: 49.96
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: 0-shot
type: accuracy
value: 51.19
verified: no, name: 1-shot
type: accuracy
value: 53.05
verified: no, name: 3-shot
type: accuracy
value: 54.83
verified: no, name: 5-shot
type: accuracy
value: 54.93
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: 0-shot
type: accuracy
value: 64.09
verified: no, name: 1-shot
type: accuracy
value: 66.22
verified: no, name: 3-shot
type: accuracy
value: 66.61
verified: no, name: 5-shot
type: accuracy
value: 67.32
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: 0-shot
type: accuracy
value: 59.34
verified: no, name: 1-shot
type: accuracy
value: 59.52
verified: no, name: 3-shot
type: accuracy
value: 59.61
verified: no, name: 5-shot
type: accuracy
value: 59.95
verified: no, name: 10-shot
type: accuracy
value: 60.19
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: 1-shot
type: accuracy
value: 31.31
verified: no, name: 3-shot
type: accuracy
value: 42.23
verified: no, name: 5-shot
type: accuracy
value: 46.93
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: 0-shot
type: macro-f1
value: 92.43
verified: no, name: 1-shot
type: macro-f1
value: 96.23
verified: no, name: 3-shot
type: macro-f1
value: 96.66
verified: no, name: 5-shot
type: macro-f1
value: 97
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: 0-shot
type: macro-f1
value: 61.47
verified: no, name: 1-shot
type: macro-f1
value: 63.77
verified: no, name: 3-shot
type: macro-f1
value: 57.12
verified: no, name: 5-shot
type: macro-f1
value: 62.43
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: 0-shot
type: bleu
value: 5.25
verified: no, name: 1-shot
type: bleu
value: 28.62
verified: no, name: 3-shot
type: bleu
value: 29.6
verified: no, name: 5-shot
type: bleu
value: 28.21
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: 0-shot
type: bleu
value: 1.95
verified: no, name: 1-shot
type: bleu
value: 24
verified: no, name: 3-shot
type: bleu
value: 34.87
verified: no, name: 5-shot
type: bleu
value: 36.31
verified: no, task: type: text-generation
dataset: name: XQuAD_EM
type: XQuAD_EM
metrics: name: 0-shot
type: exact_match
value: 16.97
verified: no, name: 1-shot
type: exact_match
value: 31.01
verified: no, name: 3-shot
type: exact_match
value: 13.95
verified: no, name: 5-shot
type: exact_match
value: 13.61
verified: no, task: type: text-generation
dataset: name: XQuAD_F1
type: XQuAD_F1
metrics: name: 0-shot
type: f1
value: 31.29
verified: no, name: 1-shot
type: f1
value: 42.77
verified: no, name: 3-shot
type: f1
value: 24.78
verified: no, name: 5-shot
type: f1
value: 28.3
verified: no, task: type: text-generation
dataset: name: STS_Spearman
type: STS_Spearman
metrics: name: 1-shot
type: spearman
value: 77.73
verified: no, name: 3-shot
type: spearman
value: 76.78
verified: no, name: 5-shot
type: spearman
value: 78.3
verified: no, task: type: text-generation
dataset: name: STS_Pearson
type: STS_Pearson
metrics: name: 1-shot
type: pearson
value: 77.25
verified: no, name: 3-shot
type: pearson
value: 75.83
verified: no, name: 5-shot
type: pearson
value: 77.49
verified: no
Likes: 1 | All-time downloads: 239
Created: 2024-09-23 12:49:13