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hourai2-10m-embedding
WariHima/hourai2-10m-embedding
hourai2-10m-embedding is a machine learning model from WariHima. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-sa-4.0.
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At a glance
- License
- cc-by-sa-4.0
- Model type
- qwen3_next
- Access
- Public
- Created
- Jul 23, 2026
- Updated
- Jul 23, 2026
- SHA
- 3234985e
Model card
From the Hugging Face model README
蓬莱2 10m emmbedding
architecture:
- qwen3next
tarined by:
- rtx3060 * 1.37h training code in ./training_codes
tokenizer from ku-nlp/gpt2-small-japanese-char
dataset:
- hotchpotch/sentence_transformer_japanese use llmjp-kaken 30k rows 1 epoch
evals:
{
"dataset_revision": "5bac629e25799df4c9c80a6a5db983d6cba9e77d",
"task_name": "JSTS",
"mteb_version": "2.18.5",
"scores": {
"validation": [
{
"pearson": 0.411709,
"spearman": 0.435841,
"cosine_pearson": 0.411709,
"cosine_spearman": 0.435841,
"manhattan_pearson": 0.443867,
"manhattan_spearman": 0.435179,
"euclidean_pearson": 0.44478,
"euclidean_spearman": 0.435818,
"main_score": 0.435841,
"hf_subset": "default",
"languages": [
"jpn-Jpan"
],
"mteb_version": "2.18.5"
}
]
},
"evaluation_time": 26.372312307357788,
"kg_co2_emissions": null,
"date": null,
"evaluation_phases": null
}
{
"dataset_revision": "5713cd1b76a22b79c3595827c717c72b6cab8852",
"task_name": "JaQuADRetrieval",
"mteb_version": "2.18.5",
"scores": {
"validation": [
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"ndcg_at_1": 0.01416,
"ndcg_at_3": 0.01722,
"ndcg_at_5": 0.02266,
"ndcg_at_10": 0.03068,
"ndcg_at_20": 0.04113,
"ndcg_at_100": 0.07258,
"ndcg_at_1000": 0.13918,
"map_at_1": 0.00708,
"map_at_3": 0.01217,
"map_at_5": 0.01469,
"map_at_10": 0.01755,
"map_at_20": 0.02014,
"map_at_100": 0.02409,
"map_at_1000": 0.02622,
"recall_at_1": 0.00708,
"recall_at_3": 0.01953,
"recall_at_5": 0.03027,
"recall_at_10": 0.05054,
"recall_at_20": 0.08447,
"recall_at_100": 0.22681,
"recall_at_1000": 0.68359,
"accuracy": 0.00708,
"precision_at_1": 0.01416,
"precision_at_3": 0.01302,
"precision_at_5": 0.01211,
"precision_at_10": 0.01011,
"precision_at_20": 0.00845,
"precision_at_100": 0.00454,
"precision_at_1000": 0.00137,
"mrr_at_1": 0.01416,
"mrr_at_3": 0.024333,
"mrr_at_5": 0.029142,
"mrr_at_10": 0.0342,
"mrr_at_20": 0.038247,
"mrr_at_100": 0.043459,
"mrr_at_1000": 0.04537,
"nauc_ndcg_at_1_max": -0.186884,
"nauc_ndcg_at_1_std": 0.378631,
"nauc_ndcg_at_1_diff1": 0.312584,
"nauc_ndcg_at_3_max": -0.148608,
"nauc_ndcg_at_3_std": 0.36812,
"nauc_ndcg_at_3_diff1": 0.17517,
"nauc_ndcg_at_5_max": -0.122966,
"nauc_ndcg_at_5_std": 0.336083,
"nauc_ndcg_at_5_diff1": 0.147033,
"nauc_ndcg_at_10_max": -0.101487,
"nauc_ndcg_at_10_std": 0.301252,
"nauc_ndcg_at_10_diff1": 0.126384,
"nauc_ndcg_at_20_max": -0.092526,
"nauc_ndcg_at_20_std": 0.286329,
"nauc_ndcg_at_20_diff1": 0.11353,
"nauc_ndcg_at_100_max": -0.072542,
"nauc_ndcg_at_100_std": 0.287011,
"nauc_ndcg_at_100_diff1": 0.070295,
"nauc_ndcg_at_1000_max": -0.092828,
"nauc_ndcg_at_1000_std": 0.304924,
"nauc_ndcg_at_1000_diff1": 0.072369,
"nauc_map_at_1_max": -0.186884,
"nauc_map_at_1_std": 0.378631,
"nauc_map_at_1_diff1": 0.312584,
"nauc_map_at_3_max": -0.155593,
"nauc_map_at_3_std": 0.369256,
"nauc_map_at_3_diff1": 0.200387,
"nauc_map_at_5_max": -0.135306,
"nauc_map_at_5_std": 0.347719,
"nauc_map_at_5_diff1": 0.177674,
"nauc_map_at_10_max": -0.122684,
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"nauc_map_at_20_max": -0.117793,
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"nauc_map_at_1000_max": -0.10753,
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"nauc_map_at_1000_diff1": 0.135503,
"nauc_recall_at_1_max": -0.186884,
"nauc_recall_at_1_std": 0.378631,
"nauc_recall_at_1_diff1": 0.312584,
"nauc_recall_at_3_max": -0.135637,
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"nauc_recall_at_3_diff1": 0.128315,
"nauc_recall_at_5_max": -0.103997,
"nauc_recall_at_5_std": 0.322636,
"nauc_recall_at_5_diff1": 0.104793,
"nauc_recall_at_10_max": -0.07864,
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"nauc_recall_at_10_diff1": 0.093104,
"nauc_recall_at_20_max": -0.069963,
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"nauc_recall_at_20_diff1": 0.081247,
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"nauc_recall_at_100_diff1": 0.019211,
"nauc_recall_at_1000_max": -0.086654,
"nauc_recall_at_1000_std": 0.250492,
"nauc_recall_at_1000_diff1": 0.006271,
"nauc_precision_at_1_max": -0.186884,
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"nauc_precision_at_1_diff1": 0.312584,
"nauc_precision_at_3_max": -0.135637,
"nauc_precision_at_3_std": 0.366165,
"nauc_precision_at_3_diff1": 0.128315,
"nauc_precision_at_5_max": -0.103997,
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"nauc_precision_at_5_diff1": 0.104793,
"nauc_precision_at_10_max": -0.07864,
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"nauc_precision_at_10_diff1": 0.093104,
"nauc_precision_at_20_max": -0.069963,
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"nauc_precision_at_20_diff1": 0.081247,
"nauc_precision_at_100_max": -0.046774,
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"nauc_precision_at_100_diff1": 0.019211,
"nauc_precision_at_1000_max": -0.086654,
"nauc_precision_at_1000_std": 0.250492,
"nauc_precision_at_1000_diff1": 0.006271,
"nauc_mrr_at_1_max": -0.186884,
"nauc_mrr_at_1_std": 0.378631,
"nauc_mrr_at_1_diff1": 0.312584,
"nauc_mrr_at_3_max": -0.155593,
"nauc_mrr_at_3_std": 0.369256,
"nauc_mrr_at_3_diff1": 0.200387,
"nauc_mrr_at_5_max": -0.135848,
"nauc_mrr_at_5_std": 0.342255,
"nauc_mrr_at_5_diff1": 0.173616,
"nauc_mrr_at_10_max": -0.119048,
"nauc_mrr_at_10_std": 0.317863,
"nauc_mrr_at_10_diff1": 0.15535,
"nauc_mrr_at_20_max": -0.113849,
"nauc_mrr_at_20_std": 0.306489,
"nauc_mrr_at_20_diff1": 0.147553,
"nauc_mrr_at_100_max": -0.109212,
"nauc_mrr_at_100_std": 0.304684,
"nauc_mrr_at_100_diff1": 0.135808,
"nauc_mrr_at_1000_max": -0.109659,
"nauc_mrr_at_1000_std": 0.30613,
"nauc_mrr_at_1000_diff1": 0.137349,
"hit_rate_at_1": 0.01416,
"hit_rate_at_3": 0.03906,
"hit_rate_at_5": 0.06006,
"hit_rate_at_10": 0.09814,
"hit_rate_at_20": 0.1582,
"hit_rate_at_100": 0.38135,
"hit_rate_at_1000": 0.88721,
"main_score": 0.03068,
"hf_subset": "default",
"languages": [
"jpn-Jpan"
],
"mteb_version": "2.18.5"
}
]
},
"evaluation_time": 42.422733545303345,
"kg_co2_emissions": null,
"date": null,
"evaluation_phases": null
}
- Type
- qwen3_next
- License
- cc-by-sa-4.0
- Languages
- ja
- Created
- Jul 23, 2026
- Updated
- Jul 23, 2026