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roberta-base-ca-cased-tc

Text Classification Transformers PyTorch
Catalan roberta catalan text classification tecla CaText Catalan Textual Corpus Eval Results Inference Endpoints
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roberta-base-ca-cased-tc
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{
    "_name_or_path": "bsc/roberta-base-ca-cased",
    "architectures": [
        "RobertaForSequenceClassification"
    ],
    "attention_probs_dropout_prob": 0.1,
    "bos_token_id": 0,
    "eos_token_id": 2,
    "gradient_checkpointing": false,
    "hidden_act": "gelu",
    "hidden_dropout_prob": 0.1,
    "hidden_size": 768,
    "id2label": {
      "0": "Medi ambient",
      "1": "Societat",
      "2": "Policial",
      "3": "Judicial",
      "4": "Empresa",
      "5": "Partits",
      "6": "Política",
      "7": "Successos",
      "8": "Salut",
      "9": "Infraestructures",
      "10": "Parlament",
      "11": "Música",
      "12": "Govern",
      "13": "Unió Europea",
      "14": "Economia",
      "15": "Mobilitat",
      "16": "Treball",
      "17": "Cultura",
      "18": "Educació"
    },
    "initializer_range": 0.02,
    "intermediate_size": 3072,
    "label2id": {
        "Medi ambient": 0,
        "Societat": 1,
        "Policial": 2,
        "Judicial": 3,
        "Empresa": 4,
        "Partits": 5,
        "Política": 6,
        "Successos": 7,
        "Salut": 8,
        "Infraestructures": 9,
        "Parlament": 10,
        "Música": 11,
        "Govern": 12,
        "Unió Europea": 13,
        "Economia": 14,
        "Mobilitat": 15,
        "Treball": 16,
        "Cultura": 17,
        "Educació": 18
    },
    "layer_norm_eps": 1e-05,
    "max_position_embeddings": 514,
    "model_type": "roberta",
    "num_attention_heads": 12,
    "num_hidden_layers": 12,
    "pad_token_id": 1,
    "position_embedding_type": "absolute",
    "problem_type": "single_label_classification",
    "transformers_version": "4.6.1",
    "type_vocab_size": 1,
    "use_cache": true,
    "vocab_size": 52000
}