add model
Browse files- README.md +47 -0
- config.json +61 -0
- tf_model.h5 +3 -0
README.md
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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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<!-- 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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# Intent-Classification-Bert-Base-Cased
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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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## 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 4.16.2
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- TensorFlow 2.9.1
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- Datasets 2.2.2
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- Tokenizers 0.10.3
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config.json
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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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}
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:7d0321bc35cdfbd9b413b38fc0e5d78415aec3ba0df4457b91098b21abfcfd62
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size 433578384
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