party classifier
Browse files- README.md +3 -0
- config.json +49 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- vocab.txt +0 -0
README.md
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## Swedish parliamentary motions party classifier
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A model trained on Swedish parliamentary motions from 2018 to 2021. Outputs the probabilities for different parties being the originator of a given text.
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config.json
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{
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"_name_or_path": "KB/bert-base-swedish-cased",
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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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"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": "V",
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"1": "S",
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"2": "MP",
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"3": "C",
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"4": "L",
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"5": "M",
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"6": "KD",
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"7": "SD",
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"8": "independent"
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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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"C": 3,
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"KD": 6,
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"L": 4,
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"M": 5,
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"MP": 2,
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"S": 1,
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"SD": 7,
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"V": 0,
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"independent": 8
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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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"output_past": true,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.12.5",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 50325
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:64460bc6a933726a4ae1fa4def94b67769a6f0a109f1a2537727b3f42a4e0643
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size 498875565
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special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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tokenizer.json
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tokenizer_config.json
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{"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": false, "special_tokens_map_file": "/home/faton/.cache/huggingface/transformers/37f2eab7cd9b3716ce0160ea9562138ae9247fb3ea61a2fd0190b16d0970444e.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d", "name_or_path": "KB/bert-base-swedish-cased", "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "BertTokenizer"}
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vocab.txt
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