Adding CAMeLBERT MSA NER model
Browse files- config.json +46 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tf_model.h5 +3 -0
- tokenizer_config.json +1 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
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{
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"_name_or_path": "bert-base-arabic-camelbert-msa-ner/",
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"architectures": [
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"BertForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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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": "B-LOC",
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"1": "B-MISC",
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"2": "B-ORG",
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"3": "B-PERS",
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"4": "I-LOC",
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"5": "I-MISC",
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"6": "I-ORG",
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"7": "I-PERS",
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"8": "O"
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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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"B-LOC": 0,
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"B-MISC": 1,
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"B-ORG": 2,
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"B-PERS": 3,
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"I-LOC": 4,
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"I-MISC": 5,
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"I-ORG": 6,
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"I-PERS": 7,
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"O": 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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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"transformers_version": "4.3.3",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30000
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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 sha256:6bb57947c055feedfb765d3b82f2ae5efbf7c01be6bc289b9e51968d1bb51920
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size 436407625
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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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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:1366badef45d08a4fb94a07239c8300ff6adf70bbc9a8d1c7ad7a31e79829ed9
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size 434276396
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tokenizer_config.json
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{"do_lower_case": false, "special_tokens_map_file": null, "full_tokenizer_file": null}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:8158999f32dfb82f6232a397d72bdd08ab41a9f50bcd58de0f79faa41de57b33
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size 1350
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vocab.txt
ADDED
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