Model: OpenLLM-Ro/RoMistral-7b-Instruct-2024-05-17
Author: OpenLLM-Ro
Pipeline: text-generation
Library: transformers
Tags: transformers, safetensors, mistral, text-generation, conversational, 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, arxiv:2406.18266, base_model:mistralai/Mistral-7B-v0.1, base_model:finetune:mistralai/Mistral-7B-v0.1, license:cc-by-nc-4.0, model-index, text-generation-inference, endpoints_compatible, region:us
Base models (finetune): id: mistralai/Mistral-7B-v0.1
Card metadata: license: cc-by-nc-4.0
language: ro
base_model: mistralai/Mistral-7B-v0.1
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
model-index: name: OpenLLM-Ro/RoMistral-7b-Instruct-2024-05-17
results: task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: Score
type: Score
value: 4.99
verified: no, task: type: text-generation
dataset: name: RoCulturaBench
type: RoCulturaBench
metrics: name: Score
type: Score
value: 3.38
verified: no, task: type: text-generation
dataset: name: Romanian_Academic_Benchmarks
type: Romanian_Academic_Benchmarks
metrics: name: Average accuracy
type: accuracy
value: 52.54
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: 50.41
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: Average accuracy
type: accuracy
value: 51.61
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: Average accuracy
type: accuracy
value: 66.48
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: Average accuracy
type: accuracy
value: 60.27
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: Average accuracy
type: accuracy
value: 34.19
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_truthfulqa
type: OpenLLM-Ro/ro_truthfulqa
metrics: name: Average accuracy
type: accuracy
value: 52.3
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: Average macro-f1
type: macro-f1
value: 97.36
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: Average macro-f1
type: macro-f1
value: 67.55
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary_finetuned
type: LaRoSeDa_binary_finetuned
metrics: name: Average macro-f1
type: macro-f1
value: 98.8
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass_finetuned
type: LaRoSeDa_multiclass_finetuned
metrics: name: Average macro-f1
type: macro-f1
value: 88.28
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: Average bleu
type: bleu
value: 27.93
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: Average bleu
type: bleu
value: 13.21
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO_finetuned
type: WMT_EN-RO_finetuned
metrics: name: Average bleu
type: bleu
value: 28.72
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN_finetuned
type: WMT_RO-EN_finetuned
metrics: name: Average bleu
type: bleu
value: 40.86
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average exact_match
type: exact_match
value: 43.66
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average f1
type: f1
value: 63.7
verified: no, task: type: text-generation
dataset: name: XQuAD_finetuned
type: XQuAD_finetuned
metrics: name: Average exact_match
type: exact_match
value: 55.04
verified: no, task: type: text-generation
dataset: name: XQuAD_finetuned
type: XQuAD_finetuned
metrics: name: Average f1
type: f1
value: 72.31
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average spearman
type: spearman
value: 77.43
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average pearson
type: pearson
value: 78.43
verified: no, task: type: text-generation
dataset: name: STS_finetuned
type: STS_finetuned
metrics: name: Average spearman
type: spearman
value: 87.25
verified: no, task: type: text-generation
dataset: name: STS_finetuned
type: STS_finetuned
metrics: name: Average pearson
type: pearson
value: 87.79
verified: no, task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: First turn
type: Score
value: 5.46
verified: no, name: Second turn
type: Score
value: 4.53
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: 47.47
verified: no, name: 1-shot
type: accuracy
value: 48.59
verified: no, name: 3-shot
type: accuracy
value: 50.3
verified: no, name: 5-shot
type: accuracy
value: 51.33
verified: no, name: 10-shot
type: accuracy
value: 52.36
verified: no, name: 25-shot
type: accuracy
value: 52.44
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: 0-shot
type: accuracy
value: 50.01
verified: no, name: 1-shot
type: accuracy
value: 50.18
verified: no, name: 3-shot
type: accuracy
value: 53.13
verified: no, name: 5-shot
type: accuracy
value: 53.12
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: 0-shot
type: accuracy
value: 64.96
verified: no, name: 1-shot
type: accuracy
value: 67.09
verified: no, name: 3-shot
type: accuracy
value: 67.01
verified: no, name: 5-shot
type: accuracy
value: 66.85
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: 0-shot
type: accuracy
value: 59.99
verified: no, name: 1-shot
type: accuracy
value: 59.48
verified: no, name: 3-shot
type: accuracy
value: 60.14
verified: no, name: 5-shot
type: accuracy
value: 60.61
verified: no, name: 10-shot
type: accuracy
value: 61.12
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: 1-shot
type: accuracy
value: 21.68
verified: no, name: 3-shot
type: accuracy
value: 38.21
verified: no, name: 5-shot
type: accuracy
value: 42.68
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: 0-shot
type: macro-f1
value: 97.27
verified: no, name: 1-shot
type: macro-f1
value: 96.37
verified: no, name: 3-shot
type: macro-f1
value: 97.97
verified: no, name: 5-shot
type: macro-f1
value: 97.83
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: 0-shot
type: macro-f1
value: 63.95
verified: no, name: 1-shot
type: macro-f1
value: 66.89
verified: no, name: 3-shot
type: macro-f1
value: 68.16
verified: no, name: 5-shot
type: macro-f1
value: 71.19
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: 0-shot
type: bleu
value: 24.87
verified: no, name: 1-shot
type: bleu
value: 28.3
verified: no, name: 3-shot
type: bleu
value: 29.26
verified: no, name: 5-shot
type: bleu
value: 29.27
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: 0-shot
type: bleu
value: 3.69
verified: no, name: 1-shot
type: bleu
value: 5.45
verified: no, name: 3-shot
type: bleu
value: 19.92
verified: no, name: 5-shot
type: bleu
value: 23.8
verified: no, task: type: text-generation
dataset: name: XQuAD_EM
type: XQuAD_EM
metrics: name: 0-shot
type: exact_match
value: 23.36
verified: no, name: 1-shot
type: exact_match
value: 47.98
verified: no, name: 3-shot
type: exact_match
value: 51.85
verified: no, name: 5-shot
type: exact_match
value: 51.43
verified: no, task: type: text-generation
dataset: name: XQuAD_F1
type: XQuAD_F1
metrics: name: 0-shot
type: f1
value: 46.29
verified: no, name: 1-shot
type: f1
value: 67.4
verified: no, name: 3-shot
type: f1
value: 70.58
verified: no, name: 5-shot
type: f1
value: 70.53
verified: no, task: type: text-generation
dataset: name: STS_Spearman
type: STS_Spearman
metrics: name: 1-shot
type: spearman
value: 77.91
verified: no, name: 3-shot
type: spearman
value: 77.73
verified: no, name: 5-shot
type: spearman
value: 76.65
verified: no, task: type: text-generation
dataset: name: STS_Pearson
type: STS_Pearson
metrics: name: 1-shot
type: pearson
value: 78.03
verified: no, name: 3-shot
type: pearson
value: 78.74
verified: no, name: 5-shot
type: pearson
value: 78.53
verified: no
Likes: 4 | All-time downloads: 4330
Created: 2024-05-14 16:55:16