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  1. README.md +47 -0
  2. config.json +61 -0
  3. tf_model.h5 +3 -0
README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_keras_callback
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+ model-index:
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+ - name: Intent-Classification-Bert-Base-Cased
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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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+ # Intent-Classification-Bert-Base-Cased
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+
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+ This model was trained from scratch 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 4.16.2
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+ - TensorFlow 2.9.1
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+ - Datasets 2.2.2
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+ - Tokenizers 0.10.3
config.json ADDED
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+ {
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+ "_name_or_path": "./models/Intent-Classification-bert-base-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": "asking date",
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+ "1": "asking time",
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+ "2": "asking weather",
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+ "3": "check internet speed",
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+ "4": "click photo",
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+ "5": "covid cases",
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+ "6": "greet",
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+ "7": "open website",
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+ "8": "play games",
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+ "9": "play on youtube",
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+ "10": "send email",
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+ "11": "send whatsapp message",
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+ "12": "take screenshot",
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+ "13": "tell me about",
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+ "14": "tell me joke",
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+ "15": "tell me news"
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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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+ "asking date": 0,
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+ "asking time": 1,
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+ "asking weather": 2,
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+ "check internet speed": 3,
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+ "click photo": 4,
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+ "covid cases": 5,
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+ "greet": 6,
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+ "open website": 7,
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+ "play games": 8,
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+ "play on youtube": 9,
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+ "send email": 10,
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+ "send whatsapp message": 11,
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+ "take screenshot": 12,
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+ "tell me about": 13,
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+ "tell me joke": 14,
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+ "tell me news": 15
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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": "4.16.2",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 28996
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+ }
tf_model.h5 ADDED
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