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  1. README.md +47 -0
  2. config.json +52 -0
  3. tf_model.h5 +3 -0
README.md ADDED
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+ ---
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+ license: mit
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+ tags:
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+ - generated_from_keras_callback
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+ model-index:
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+ - name: tf-mobilebert-finetuned-ner
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+ results: []
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+ ---
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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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+
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+ # tf-mobilebert-finetuned-ner
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+
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+ This model is a fine-tuned version of [mrm8488/mobilebert-finetuned-ner](https://huggingface.co/mrm8488/mobilebert-finetuned-ner) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.17.0
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+ - TensorFlow 2.8.0
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+ - Tokenizers 0.11.6
config.json ADDED
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+ {
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+ "_name_or_path": "mrm8488/mobilebert-finetuned-ner",
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+ "architectures": [
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+ "MobileBertForTokenClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_activation": false,
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+ "classifier_dropout": null,
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+ "embedding_size": 128,
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+ "hidden_act": "relu",
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+ "hidden_dropout_prob": 0.0,
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+ "hidden_size": 512,
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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": "I-LOC",
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+ "4": "I-MISC",
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+ "5": "I-ORG",
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+ "6": "I-PER",
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+ "7": "O"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 512,
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+ "intra_bottleneck_size": 128,
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+ "key_query_shared_bottleneck": true,
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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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+ "I-LOC": 3,
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+ "I-MISC": 4,
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+ "I-ORG": 5,
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+ "I-PER": 6,
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+ "O": 7
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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": "mobilebert",
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+ "normalization_type": "no_norm",
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+ "num_attention_heads": 4,
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+ "num_feedforward_networks": 4,
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+ "num_hidden_layers": 24,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.17.0",
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+ "trigram_input": true,
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+ "true_hidden_size": 128,
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+ "type_vocab_size": 2,
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+ "use_bottleneck": true,
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+ "use_bottleneck_attention": false,
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+ "vocab_size": 30522
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+ }
tf_model.h5 ADDED
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