{ | |
"_name_or_path": "sentence-transformers/all-mpnet-base-v2", | |
"architectures": [ | |
"MPNetForSequenceClassification" | |
], | |
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"hidden_act": "gelu", | |
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"hidden_size": 768, | |
"id2label": { | |
"0": "business", | |
"1": "crime", | |
"2": "entertainment", | |
"3": "neutral", | |
"4": "politics", | |
"5": "science", | |
"6": "sports", | |
"7": "weather" | |
}, | |
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"crime": 1, | |
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"neutral": 3, | |
"politics": 4, | |
"science": 5, | |
"sports": 6, | |
"weather": 7 | |
}, | |
"layer_norm_eps": 1e-05, | |
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"model_type": "mpnet", | |
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"num_hidden_layers": 12, | |
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"problem_type": "multi_label_classification", | |
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"torch_dtype": "float32", | |
"transformers_version": "4.35.2", | |
"vocab_size": 30527 | |
} | |