mia-laya / mia.json
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{
"name": "mia-laya",
"task": "chinese-sentiment-3class",
"labels": [
"负面",
"中性",
"正面"
],
"base_model": "convaiinnovations/laya-multilingual",
"base_revision": "e4e9ddf21a7b1903b7acffd8814ad4307bf63a67",
"base_license": "Apache-2.0",
"encoder": "jhu-clsp/mmBERT-base",
"architecture": "Laya rl-agent choice head, loaded with laya.load (laya==0.3.20)",
"params_million": 322,
"weights_dtype": "float32",
"temperature": 1.9488,
"class_weights": {
"负面": 1.666322,
"中性": 0.784345,
"正面": 0.888946
},
"training_data": "72,610 Chinese short texts relabeled by an LLM; 褒贬混合 dropped; not distributed",
"epochs": 3,
"effective_batch_size": 256,
"seed": 42,
"eval": {
"dev_4920": {
"accuracy": 0.8108,
"macro_f1": 0.7974
},
"holdout_5372": {
"accuracy": 0.8172,
"macro_f1": 0.8028,
"recall": {
"负面": 0.794,
"中性": 0.77,
"正面": 0.894
}
},
"chinese_csv_900": {
"accuracy": 0.9367,
"macro_f1": 0.9362,
"neutral_recall": 0.833
},
"public_forced_binary_accuracy": {
"chnsenticorp": 0.8833,
"online_shopping_10_cats": 0.9186,
"eprstmt": 0.882,
"weibo_senti_100k": 0.803
},
"public_dmsc_3class_accuracy": 0.5422
},
"throughput": "1,977 rows/s on RTX 4090, batch 64, holdout 5,372 rows end to end (reports/mia-laya/throughput.json)",
"reports": [
"reports/mia-laya/",
"reports/public/mia-laya.json"
],
"released": "2026-09-26",
"license": "Apache-2.0",
"hub": {
"huggingface": "https://huggingface.co/leafiy/mia-laya",
"modelscope": "https://modelscope.cn/models/leafiy2/mia-laya"
}
}