Model: OpenLLM-Ro/RoLlama3.1-8b-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/Llama-3.1-8B-Instruct, base_model:finetune:meta-llama/Llama-3.1-8B-Instruct, license:cc-by-nc-4.0, model-index, region:us
Base models (finetune): id: meta-llama/Llama-3.1-8B-Instruct
Card metadata: license: cc-by-nc-4.0
language: ro
base_model: meta-llama/Llama-3.1-8B-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/RoLlama3.1-8b-Instruct-2024-10-09
results: task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: Score
type: Score
value: 5.42
verified: no, task: type: text-generation
dataset: name: RoCulturaBench
type: RoCulturaBench
metrics: name: Score
type: Score
value: 3.55
verified: no, task: type: text-generation
dataset: name: Romanian_Academic_Benchmarks
type: Romanian_Academic_Benchmarks
metrics: name: Average accuracy
type: accuracy
value: 53.03
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: 47.69
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: Average accuracy
type: accuracy
value: 54.57
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: name: Average accuracy
type: accuracy
value: 65.84
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: name: Average accuracy
type: accuracy
value: 59.94
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: Average accuracy
type: accuracy
value: 44.3
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_truthfulqa
type: OpenLLM-Ro/ro_truthfulqa
metrics: name: Average accuracy
type: accuracy
value: 45.82
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: Average macro-f1
type: macro-f1
value: 94.56
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: Average macro-f1
type: macro-f1
value: 60.1
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary_finetuned
type: LaRoSeDa_binary_finetuned
metrics: name: Average macro-f1
type: macro-f1
value: 95.12
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass_finetuned
type: LaRoSeDa_multiclass_finetuned
metrics: name: Average macro-f1
type: macro-f1
value: 87.53
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: Average bleu
type: bleu
value: 21.88
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: Average bleu
type: bleu
value: 23.99
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO_finetuned
type: WMT_EN-RO_finetuned
metrics: name: Average bleu
type: bleu
value: 28.27
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN_finetuned
type: WMT_RO-EN_finetuned
metrics: name: Average bleu
type: bleu
value: 40.44
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average exact_match
type: exact_match
value: 13.59
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: name: Average f1
type: f1
value: 23.56
verified: no, task: type: text-generation
dataset: name: XQuAD_finetuned
type: XQuAD_finetuned
metrics: name: Average exact_match
type: exact_match
value: 49.41
verified: no, task: type: text-generation
dataset: name: XQuAD_finetuned
type: XQuAD_finetuned
metrics: name: Average f1
type: f1
value: 62.93
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average spearman
type: spearman
value: 75.89
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: name: Average pearson
type: pearson
value: 76
verified: no, task: type: text-generation
dataset: name: STS_finetuned
type: STS_finetuned
metrics: name: Average spearman
type: spearman
value: 86.86
verified: no, task: type: text-generation
dataset: name: STS_finetuned
type: STS_finetuned
metrics: name: Average pearson
type: pearson
value: 87.05
verified: no, task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: name: First turn
type: Score
value: 5.95
verified: no, name: Second turn
type: Score
value: 4.89
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: 42.76
verified: no, name: 1-shot
type: accuracy
value: 46.44
verified: no, name: 3-shot
type: accuracy
value: 48.24
verified: no, name: 5-shot
type: accuracy
value: 48.84
verified: no, name: 10-shot
type: accuracy
value: 49.36
verified: no, name: 25-shot
type: accuracy
value: 50.47
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: name: 0-shot
type: accuracy
value: 52.95
verified: no, name: 1-shot
type: accuracy
value: 54.62
verified: no, name: 3-shot
type: accuracy
value: 55.54
verified: no, name: 5-shot
type: accuracy
value: 55.17
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: 66.14
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: 59.07
verified: no, name: 1-shot
type: accuracy
value: 59.26
verified: no, name: 3-shot
type: accuracy
value: 60.41
verified: no, name: 5-shot
type: accuracy
value: 60.18
verified: no, name: 10-shot
type: accuracy
value: 60.77
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: name: 1-shot
type: accuracy
value: 35.1
verified: no, name: 3-shot
type: accuracy
value: 47.01
verified: no, name: 5-shot
type: accuracy
value: 50.8
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: name: 0-shot
type: macro-f1
value: 90.18
verified: no, name: 1-shot
type: macro-f1
value: 94.45
verified: no, name: 3-shot
type: macro-f1
value: 96.36
verified: no, name: 5-shot
type: macro-f1
value: 97.27
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: name: 0-shot
type: macro-f1
value: 67.56
verified: no, name: 1-shot
type: macro-f1
value: 63.21
verified: no, name: 3-shot
type: macro-f1
value: 51.69
verified: no, name: 5-shot
type: macro-f1
value: 57.95
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: name: 0-shot
type: bleu
value: 5.12
verified: no, name: 1-shot
type: bleu
value: 26.99
verified: no, name: 3-shot
type: bleu
value: 27.91
verified: no, name: 5-shot
type: bleu
value: 27.51
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: name: 0-shot
type: bleu
value: 1.63
verified: no, name: 1-shot
type: bleu
value: 22.59
verified: no, name: 3-shot
type: bleu
value: 35.7
verified: no, name: 5-shot
type: bleu
value: 36.05
verified: no, task: type: text-generation
dataset: name: XQuAD_EM
type: XQuAD_EM
metrics: name: 0-shot
type: exact_match
value: 6.55
verified: no, name: 1-shot
type: exact_match
value: 38.32
verified: no, name: 3-shot
type: exact_match
value: 8.66
verified: no, name: 5-shot
type: exact_match
value: 0.84
verified: no, task: type: text-generation
dataset: name: XQuAD_F1
type: XQuAD_F1
metrics: name: 0-shot
type: f1
value: 16.04
verified: no, name: 1-shot
type: f1
value: 56.16
verified: no, name: 3-shot
type: f1
value: 15.64
verified: no, name: 5-shot
type: f1
value: 6.39
verified: no, task: type: text-generation
dataset: name: STS_Spearman
type: STS_Spearman
metrics: name: 1-shot
type: spearman
value: 76.27
verified: no, name: 3-shot
type: spearman
value: 75.48
verified: no, name: 5-shot
type: spearman
value: 75.92
verified: no, task: type: text-generation
dataset: name: STS_Pearson
type: STS_Pearson
metrics: name: 1-shot
type: pearson
value: 76.76
verified: no, name: 3-shot
type: pearson
value: 75.38
verified: no, name: 5-shot
type: pearson
value: 75.87
verified: no
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Created: 2024-10-01 12:52:44