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  1. README.md +47 -0
  2. config.json +47 -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: tmpydyl607j
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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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+ # tmpydyl607j
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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 2.8.0
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+ - Datasets 1.18.3
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+ - Tokenizers 0.11.0
config.json ADDED
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+ {
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+ "_name_or_path": "stress_classifier/",
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+ "activation": "gelu",
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+ "architectures": [
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+ "DistilBertForSequenceClassification"
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+ ],
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+ "attention_dropout": 0.1,
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+ "dim": 768,
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+ "dropout": 0.1,
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+ "hidden_dim": 3072,
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+ "id2label": {
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+ "0": "Other",
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+ "1": "Emotional Turmoil",
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+ "2": "Everyday Decision Making",
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+ "3": "Work",
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+ "4": "Social Relationships",
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+ "5": "Health, Fatigue, or Physical Pain",
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+ "6": "Family Issues",
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+ "7": "School",
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+ "8": "Financial Problem"
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+ },
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+ "initializer_range": 0.02,
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+ "label2id": {
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+ "Emotional Turmoil": 1,
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+ "Everyday Decision Making": 2,
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+ "Family Issues": 6,
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+ "Financial Problem": 8,
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+ "Health, Fatigue, or Physical Pain": 5,
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+ "Other": 0,
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+ "School": 7,
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+ "Social Relationships": 4,
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+ "Work": 3
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+ },
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+ "max_position_embeddings": 512,
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+ "model_type": "distilbert",
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+ "n_heads": 12,
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+ "n_layers": 6,
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+ "pad_token_id": 0,
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+ "problem_type": "single_label_classification",
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+ "qa_dropout": 0.1,
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+ "seq_classif_dropout": 0.2,
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+ "sinusoidal_pos_embds": false,
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+ "tie_weights_": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.16.2",
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+ "vocab_size": 30522
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+ }
tf_model.h5 ADDED
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