rubert-base-massive / config.json
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{
"_name_or_path": "sberbank-ai/ruBert-base",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"directionality": "bidi",
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "datetime_query",
"1": "iot_hue_lightchange",
"2": "transport_ticket",
"3": "takeaway_query",
"4": "qa_stock",
"5": "general_greet",
"6": "recommendation_events",
"7": "music_dislikeness",
"8": "iot_wemo_off",
"9": "cooking_recipe",
"10": "qa_currency",
"11": "transport_traffic",
"12": "general_quirky",
"13": "weather_query",
"14": "audio_volume_up",
"15": "email_addcontact",
"16": "takeaway_order",
"17": "email_querycontact",
"18": "iot_hue_lightup",
"19": "recommendation_locations",
"20": "play_audiobook",
"21": "lists_createoradd",
"22": "news_query",
"23": "alarm_query",
"24": "iot_wemo_on",
"25": "general_joke",
"26": "qa_definition",
"27": "social_query",
"28": "music_settings",
"29": "audio_volume_other",
"30": "calendar_remove",
"31": "iot_hue_lightdim",
"32": "calendar_query",
"33": "email_sendemail",
"34": "iot_cleaning",
"35": "audio_volume_down",
"36": "play_radio",
"37": "cooking_query",
"38": "datetime_convert",
"39": "qa_maths",
"40": "iot_hue_lightoff",
"41": "iot_hue_lighton",
"42": "transport_query",
"43": "music_likeness",
"44": "email_query",
"45": "play_music",
"46": "audio_volume_mute",
"47": "social_post",
"48": "alarm_set",
"49": "qa_factoid",
"50": "calendar_set",
"51": "play_game",
"52": "alarm_remove",
"53": "lists_remove",
"54": "transport_taxi",
"55": "recommendation_movies",
"56": "iot_coffee",
"57": "music_query",
"58": "play_podcasts",
"59": "lists_query"
}
,
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1,
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"LABEL_18": 18,
"LABEL_19": 19,
"LABEL_2": 2,
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"LABEL_3": 3,
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"LABEL_4": 4,
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"LABEL_5": 5,
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"LABEL_58": 58,
"LABEL_59": 59,
"LABEL_6": 6,
"LABEL_7": 7,
"LABEL_8": 8,
"LABEL_9": 9
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"pooler_fc_size": 768,
"pooler_num_attention_heads": 12,
"pooler_num_fc_layers": 3,
"pooler_size_per_head": 128,
"pooler_type": "first_token_transform",
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.24.0",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 120138
}