Model: OpenLLM-Ro/RoMistral-7b-Instruct-2024-10-09
Author: OpenLLM-Ro
Tags: safetensors, mistral, 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:mistralai/Mistral-7B-v0.1, base_model:finetune:mistralai/Mistral-7B-v0.1, license:cc-by-nc-4.0, model-index, 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, OpenLLM-Ro/ro_sft_oasst, OpenLLM-Ro/ro_sft_ultrachat
model-index: name: OpenLLM-Ro/RoMistral-7b-Instruct-2024-10-09
results: task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: Score
type: Score
value: 5.29
verified: no, task: type: text-generation
dataset: name: RoCulturaBench
type: RoCulturaBench
metrics: name: Score
type: Score
value: 3.99
verified: no, task: type: text-generation
dataset: name: Romanian_Academic_Benchmarks
type: Romanian_Academic_Benchmarks
metrics: name: Average accuracy
type: accuracy
value: 52.91
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: 52.27
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: Average accuracy
type: accuracy
value: 49.33
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: Average accuracy
type: accuracy
value: 70.03
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: Average accuracy
type: accuracy
value: 62.88
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: Average accuracy
type: accuracy
value: 32.42
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_truthfulqa
type: OpenLLM-Ro/ro_truthfulqa
metrics: name: Average accuracy
type: accuracy
value: 50.51
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: Average macro-f1
type: macro-f1
value: 95.56
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: Average macro-f1
type: macro-f1
value: 67.83
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary_finetuned
type: LaRoSeDa_binary_finetuned
metrics: name: Average macro-f1
type: macro-f1
value: 99
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass_finetuned
type: LaRoSeDa_multiclass_finetuned
metrics: name: Average macro-f1
type: macro-f1
value: 87.57
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: Average bleu
type: bleu
value: 28.28
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: Average bleu
type: bleu
value: 6.1
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO_finetuned
type: WMT_EN-RO_finetuned
metrics: name: Average bleu
type: bleu
value: 27.7
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN_finetuned
type: WMT_RO-EN_finetuned
metrics: name: Average bleu
type: bleu
value: 40.36
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average exact_match
type: exact_match
value: 41.09
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average f1
type: f1
value: 63.21
verified: no, task: type: text-generation
dataset: name: XQuAD_finetuned
type: XQuAD_finetuned
metrics: name: Average exact_match
type: exact_match
value: 47.56
verified: no, task: type: text-generation
dataset: name: XQuAD_finetuned
type: XQuAD_finetuned
metrics: name: Average f1
type: f1
value: 62.69
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average spearman
type: spearman
value: 78.47
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average pearson
type: pearson
value: 77.24
verified: no, task: type: text-generation
dataset: name: STS_finetuned
type: STS_finetuned
metrics: name: Average spearman
type: spearman
value: 87.28
verified: no, task: type: text-generation
dataset: name: STS_finetuned
type: STS_finetuned
metrics: name: Average pearson
type: pearson
value: 87.88
verified: no, task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: First turn
type: Score
value: 5.86
verified: no, name: Second turn
type: Score
value: 4.72
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: 52.1
verified: no, name: 1-shot
type: accuracy
value: 49.87
verified: no, name: 3-shot
type: accuracy
value: 51.76
verified: no, name: 5-shot
type: accuracy
value: 52.1
verified: no, name: 10-shot
type: accuracy
value: 53.64
verified: no, name: 25-shot
type: accuracy
value: 54.16
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: 0-shot
type: accuracy
value: 43.86
verified: no, name: 1-shot
type: accuracy
value: 47.7
verified: no, name: 3-shot
type: accuracy
value: 52.48
verified: no, name: 5-shot
type: accuracy
value: 53.29
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: 0-shot
type: accuracy
value: 68.27
verified: no, name: 1-shot
type: accuracy
value: 69.3
verified: no, name: 3-shot
type: accuracy
value: 70.56
verified: no, name: 5-shot
type: accuracy
value: 71.98
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: 0-shot
type: accuracy
value: 63.03
verified: no, name: 1-shot
type: accuracy
value: 62.39
verified: no, name: 3-shot
type: accuracy
value: 62.54
verified: no, name: 5-shot
type: accuracy
value: 62.95
verified: no, name: 10-shot
type: accuracy
value: 63.47
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: 1-shot
type: accuracy
value: 25.47
verified: no, name: 3-shot
type: accuracy
value: 33.06
verified: no, name: 5-shot
type: accuracy
value: 38.74
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: 0-shot
type: macro-f1
value: 88.87
verified: no, name: 1-shot
type: macro-f1
value: 97.4
verified: no, name: 3-shot
type: macro-f1
value: 98.13
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: 66.79
verified: no, name: 1-shot
type: macro-f1
value: 67
verified: no, name: 3-shot
type: macro-f1
value: 67.63
verified: no, name: 5-shot
type: macro-f1
value: 69.88
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: 0-shot
type: bleu
value: 23.84
verified: no, name: 1-shot
type: bleu
value: 29.49
verified: no, name: 3-shot
type: bleu
value: 30.29
verified: no, name: 5-shot
type: bleu
value: 29.49
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: 0-shot
type: bleu
value: 3.14
verified: no, name: 1-shot
type: bleu
value: 3.18
verified: no, name: 3-shot
type: bleu
value: 6.72
verified: no, name: 5-shot
type: bleu
value: 11.35
verified: no, task: type: text-generation
dataset: name: XQuAD_EM
type: XQuAD_EM
metrics: name: 0-shot
type: exact_match
value: 35.21
verified: no, name: 1-shot
type: exact_match
value: 40.76
verified: no, name: 3-shot
type: exact_match
value: 43.7
verified: no, name: 5-shot
type: exact_match
value: 44.71
verified: no, task: type: text-generation
dataset: name: XQuAD_F1
type: XQuAD_F1
metrics: name: 0-shot
type: f1
value: 57.74
verified: no, name: 1-shot
type: f1
value: 61.96
verified: no, name: 3-shot
type: f1
value: 65.55
verified: no, name: 5-shot
type: f1
value: 67.59
verified: no, task: type: text-generation
dataset: name: STS_Spearman
type: STS_Spearman
metrics: name: 1-shot
type: spearman
value: 77.38
verified: no, name: 3-shot
type: spearman
value: 79.28
verified: no, name: 5-shot
type: spearman
value: 78.75
verified: no, task: type: text-generation
dataset: name: STS_Pearson
type: STS_Pearson
metrics: name: 1-shot
type: pearson
value: 77.1
verified: no, name: 3-shot
type: pearson
value: 77.7
verified: no, name: 5-shot
type: pearson
value: 76.91
verified: no
Likes: 0 | All-time downloads: 588
Created: 2024-09-23 11:37:59