Model: code380/RoLlama3-8b-Instruct-DPO-Q4_K_M-GGUF
Author: code380
Tags: gguf, llama-cpp, gguf-my-repo, ro, dataset:OpenLLM-Ro/ro_dpo_helpsteer, base_model:OpenLLM-Ro/RoLlama3-8b-Instruct-DPO, base_model:quantized:OpenLLM-Ro/RoLlama3-8b-Instruct-DPO, license:cc-by-nc-4.0, model-index, endpoints_compatible, region:us, conversational
Base models (quantized): id: OpenLLM-Ro/RoLlama3-8b-Instruct-DPO
Card metadata: base_model: OpenLLM-Ro/RoLlama3-8b-Instruct-DPO
datasets: OpenLLM-Ro/ro_dpo_helpsteer
language: ro
license: cc-by-nc-4.0
tags: llama-cpp, gguf-my-repo
model-index: name: OpenLLM-Ro/RoLlama3-8b-Instruct-DPO-2024-10-09
results: task: type: text-generation
dataset: name: RoMT-Bench
type: RoMT-Bench
metrics: type: Score
value: 5.87
name: Score
verified: no, type: Score
value: 6.22
name: First turn
verified: no, type: Score
value: 5.49
name: Second turn
verified: no, task: type: text-generation
dataset: name: RoCulturaBench
type: RoCulturaBench
metrics: type: Score
value: 4.4
name: Score
verified: no, task: type: text-generation
dataset: name: Romanian_Academic_Benchmarks
type: Romanian_Academic_Benchmarks
metrics: type: accuracy
value: 49.96
name: Average accuracy
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_arc_challenge
type: OpenLLM-Ro/ro_arc_challenge
metrics: type: accuracy
value: 46.29
name: Average accuracy
verified: no, type: accuracy
value: 44.56
name: 0-shot
verified: no, type: accuracy
value: 45.42
name: 1-shot
verified: no, type: accuracy
value: 46.1
name: 3-shot
verified: no, type: accuracy
value: 46.27
name: 5-shot
verified: no, type: accuracy
value: 46.96
name: 10-shot
verified: no, type: accuracy
value: 48.41
name: 25-shot
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_mmlu
type: OpenLLM-Ro/ro_mmlu
metrics: type: accuracy
value: 53.29
name: Average accuracy
verified: no, type: accuracy
value: 52.33
name: 0-shot
verified: no, type: accuracy
value: 52.86
name: 1-shot
verified: no, type: accuracy
value: 54.06
name: 3-shot
verified: no, type: accuracy
value: 53.9
name: 5-shot
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_winogrande
type: OpenLLM-Ro/ro_winogrande
metrics: type: accuracy
value: 65.57
name: Average accuracy
verified: no, type: accuracy
value: 64.33
name: 0-shot
verified: no, type: accuracy
value: 64.72
name: 1-shot
verified: no, type: accuracy
value: 66.3
name: 3-shot
verified: no, type: accuracy
value: 66.93
name: 5-shot
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_hellaswag
type: OpenLLM-Ro/ro_hellaswag
metrics: type: accuracy
value: 58.15
name: Average accuracy
verified: no, type: accuracy
value: 57.45
name: 0-shot
verified: no, type: accuracy
value: 57.65
name: 1-shot
verified: no, type: accuracy
value: 58.18
name: 3-shot
verified: no, type: accuracy
value: 58.64
name: 5-shot
verified: no, type: accuracy
value: 58.85
name: 10-shot
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_gsm8k
type: OpenLLM-Ro/ro_gsm8k
metrics: type: accuracy
value: 34.77
name: Average accuracy
verified: no, type: accuracy
value: 32.52
name: 1-shot
verified: no, type: accuracy
value: 33.97
name: 3-shot
verified: no, type: accuracy
value: 37.83
name: 5-shot
verified: no, task: type: text-generation
dataset: name: OpenLLM-Ro/ro_truthfulqa
type: OpenLLM-Ro/ro_truthfulqa
metrics: type: accuracy
value: 41.7
name: Average accuracy
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary
type: LaRoSeDa_binary
metrics: type: macro-f1
value: 97.48
name: Average macro-f1
verified: no, type: macro-f1
value: 97.67
name: 0-shot
verified: no, type: macro-f1
value: 97.07
name: 1-shot
verified: no, type: macro-f1
value: 97.4
name: 3-shot
verified: no, type: macro-f1
value: 97.8
name: 5-shot
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass
type: LaRoSeDa_multiclass
metrics: type: macro-f1
value: 54
name: Average macro-f1
verified: no, type: macro-f1
value: 58.49
name: 0-shot
verified: no, type: macro-f1
value: 55.93
name: 1-shot
verified: no, type: macro-f1
value: 47.7
name: 3-shot
verified: no, type: macro-f1
value: 53.89
name: 5-shot
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_binary_finetuned
type: LaRoSeDa_binary_finetuned
metrics: type: macro-f1
value: 0
name: Average macro-f1
verified: no, task: type: text-generation
dataset: name: LaRoSeDa_multiclass_finetuned
type: LaRoSeDa_multiclass_finetuned
metrics: type: macro-f1
value: 0
name: Average macro-f1
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO
type: WMT_EN-RO
metrics: type: bleu
value: 22.09
name: Average bleu
verified: no, type: bleu
value: 8.63
name: 0-shot
verified: no, type: bleu
value: 25.89
name: 1-shot
verified: no, type: bleu
value: 26.79
name: 3-shot
verified: no, type: bleu
value: 27.05
name: 5-shot
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN
type: WMT_RO-EN
metrics: type: bleu
value: 23
name: Average bleu
verified: no, type: bleu
value: 3.56
name: 0-shot
verified: no, type: bleu
value: 20.66
name: 1-shot
verified: no, type: bleu
value: 33.56
name: 3-shot
verified: no, type: bleu
value: 34.22
name: 5-shot
verified: no, task: type: text-generation
dataset: name: WMT_EN-RO_finetuned
type: WMT_EN-RO_finetuned
metrics: type: bleu
value: 0
name: Average bleu
verified: no, task: type: text-generation
dataset: name: WMT_RO-EN_finetuned
type: WMT_RO-EN_finetuned
metrics: type: bleu
value: 0
name: Average bleu
verified: no, task: type: text-generation
dataset: name: XQuAD
type: XQuAD
metrics: type: exact_match
value: 26.05
name: Average exact_match
verified: no, type: f1
value: 42.77
name: Average f1
verified: no, task: type: text-generation
dataset: name: XQuAD_finetuned
type: XQuAD_finetuned
metrics: type: exact_match
value: 0
name: Average exact_match
verified: no, type: f1
value: 0
name: Average f1
verified: no, task: type: text-generation
dataset: name: STS
type: STS
metrics: type: spearman
value: 79.64
name: Average spearman
verified: no, type: pearson
value: 79.52
name: Average pearson
verified: no, task: type: text-generation
dataset: name: STS_finetuned
type: STS_finetuned
metrics: type: spearman
value: 0
name: Average spearman
verified: no, type: pearson
value: 0
name: Average pearson
verified: no, task: type: text-generation
dataset: name: XQuAD_EM
type: XQuAD_EM
metrics: type: exact_match
value: 11.26
name: 0-shot
verified: no, type: exact_match
value: 34.29
name: 1-shot
verified: no, type: exact_match
value: 29.24
name: 3-shot
verified: no, type: exact_match
value: 29.41
name: 5-shot
verified: no, task: type: text-generation
dataset: name: XQuAD_F1
type: XQuAD_F1
metrics: type: f1
value: 22.98
name: 0-shot
verified: no, type: f1
value: 54.48
name: 1-shot
verified: no, type: f1
value: 46.18
name: 3-shot
verified: no, type: f1
value: 47.43
name: 5-shot
verified: no, task: type: text-generation
dataset: name: STS_Spearman
type: STS_Spearman
metrics: type: spearman
value: 79.99
name: 1-shot
verified: no, type: spearman
value: 78.42
name: 3-shot
verified: no, type: spearman
value: 80.51
name: 5-shot
verified: no, task: type: text-generation
dataset: name: STS_Pearson
type: STS_Pearson
metrics: type: pearson
value: 80.59
name: 1-shot
verified: no, type: pearson
value: 78.11
name: 3-shot
verified: no, type: pearson
value: 79.87
name: 5-shot
verified: no
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Created: 2025-03-19 13:26:13