Upload TFBertForTokenClassification
Browse files- README.md +48 -0
- config.json +110 -0
- tf_model.h5 +3 -0
README.md
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---
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base_model: aubmindlab/bert-base-arabertv02
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tags:
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- generated_from_keras_callback
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model-index:
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- name: arabert-ner-test-2
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# arabert-ner-test-2
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This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on an unknown dataset.
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It achieves the following results on the evaluation set:
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: None
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- training_precision: float32
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### Training results
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### Framework versions
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- Transformers 4.38.1
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- TensorFlow 2.15.0
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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config.json
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{
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"_name_or_path": "aubmindlab/bert-base-arabertv02",
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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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"classifier_dropout": null,
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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-Allah",
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"1": "I-Allah",
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"10": "B-Day",
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"11": "I-Day",
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"12": "B-Hell",
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"13": "I-Hell",
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"14": "B-Loc",
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"15": "I-Loc",
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"16": "B-Meas",
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"17": "I-Meas",
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"18": "B-Mon",
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"19": "I-Mon",
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"2": "B-Book",
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"20": "B-Month",
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"21": "I-Month",
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"22": "B-NatOb",
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"23": "I-NatOb",
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"24": "B-NUM",
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"25": "I-NUM",
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"26": "O",
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"27": "B-Org",
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"28": "I-Org",
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"29": "B-Para",
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"3": "I-Book",
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"30": "I-Para",
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"31": "B-Pers",
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"32": "I-Pers",
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"33": "B-Prophet",
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"34": "I-Prophet",
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"35": "B-Rlig",
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"36": "I-Rlig",
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"37": "B-Sect",
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"38": "I-Sect",
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"39": "B-Time",
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"4": "B-Clan",
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"40": "I-Time",
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"5": "I-Clan",
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"6": "B-Crime",
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"7": "I-Crime",
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"8": "B-Date",
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"9": "I-Date"
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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-Allah": "0",
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"B-Book": "2",
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"B-Clan": "4",
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"B-Crime": "6",
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"B-Date": "8",
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"B-Day": "10",
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"B-Hell": "12",
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"B-Loc": "14",
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"B-Meas": "16",
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"B-Mon": "18",
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"B-Month": "20",
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"B-NUM": "24",
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"B-NatOb": "22",
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"B-Org": "27",
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"B-Para": "29",
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"B-Pers": "31",
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"B-Prophet": "33",
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"B-Rlig": "35",
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"B-Sect": "37",
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"B-Time": "39",
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"I-Allah": "1",
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"I-Book": "3",
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"I-Clan": "5",
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"I-Crime": "7",
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"I-Date": "9",
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"I-Day": "11",
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"I-Hell": "13",
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"I-Loc": "15",
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"I-Meas": "17",
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"I-Mon": "19",
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"I-Month": "21",
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"I-NUM": "25",
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"I-NatOb": "23",
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"I-Org": "28",
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"I-Para": "30",
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"I-Pers": "32",
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"I-Prophet": "34",
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"I-Rlig": "36",
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"I-Sect": "38",
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"I-Time": "40",
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"O": "26"
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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": "4.38.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 64000
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}
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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:c7faddcd28d410ccc7077a5878801408423ebd423a0fb7c45a76a7c223fdd94a
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size 538810476
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