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Added model

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.gitattributes ADDED
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+ pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
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+ training_args.bin filter=lfs diff=lfs merge=lfs -text
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+ sentencepiece.bpe.model filter=lfs diff=lfs merge=lfs -text
config.json ADDED
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+ {
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+ "_name_or_path": "vesteinn/ScandiBERT",
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+ "architectures": [
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+ "XLMRobertaForTokenClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "bos_token_id": 0,
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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": "O",
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+ "1": "B-Date",
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+ "2": "B-Location",
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+ "3": "B-Miscellaneous",
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+ "4": "B-Money",
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+ "5": "B-Organization",
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+ "6": "B-Percent",
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+ "7": "B-Person",
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+ "8": "B-Time",
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+ "9": "I-Date",
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+ "10": "I-Location",
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+ "11": "I-Miscellaneous",
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+ "12": "I-Money",
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+ "13": "I-Organization",
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+ "14": "I-Percent",
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+ "15": "I-Person",
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+ "16": "I-Time"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ },
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+ "layer_norm_eps": 1e-05,
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+ "max_position_embeddings": 514,
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+ "model_type": "xlm-roberta",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 1,
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+ "position_embedding_type": "absolute",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.15.0",
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+ "type_vocab_size": 1,
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+ "use_cache": true,
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+ "vocab_size": 50005
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+ }
pytorch_model.bin ADDED
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sentencepiece.bpe.model ADDED
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special_tokens_map.json ADDED
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+ {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true}}
tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "special_tokens_map_file": null, "name_or_path": "vesteinn/ScandiBERT", "sp_model_kwargs": {}, "add_prefix_space": true, "tokenizer_class": "XLMRobertaTokenizer"}