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Upload BertForSequenceClassification

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  1. config.json +83 -0
  2. pytorch_model.bin +3 -0
config.json ADDED
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+ {
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+ "_name_or_path": "Maltehb/danish-bert-botxo",
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "directionality": "bidi",
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "1 - Macroeconomics",
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+ "1": "10 - Transportation",
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+ "2": "12 - Law and Crime",
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+ "3": "13 - Social Welfare",
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+ "4": "14 - Housing",
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+ "5": "15 - Domestic Commerce",
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+ "6": "16 - Defense",
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+ "7": "17 - Technology",
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+ "8": "18 - Foreign Trade",
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+ "9": "19.1 - International Affairs",
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+ "10": "19.2 - European Integration",
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+ "11": "2 - Civil Rights",
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+ "12": "20 - Government Operations",
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+ "13": "23 - Culture",
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+ "14": "3 - Health",
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+ "15": "4 - Agriculture",
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+ "16": "5 - Labor",
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+ "17": "6 - Education",
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+ "18": "7 - Environment",
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+ "19": "8 - Energy",
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+ "20": "9 - Immigration",
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+ "21": "98 - Non-thematic",
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+ "22": "99 - Other"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "LABEL_0": 0,
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+ "LABEL_1": 1,
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+ "LABEL_10": 10,
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+ "LABEL_2": 2,
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+ "LABEL_9": 9
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "pooler_fc_size": 768,
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+ "pooler_num_attention_heads": 12,
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+ "pooler_num_fc_layers": 3,
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+ "pooler_size_per_head": 128,
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+ "pooler_type": "first_token_transform",
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+ "position_embedding_type": "absolute",
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+ "problem_type": "single_label_classification",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.28.0",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
pytorch_model.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ size 442612917