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Browse files- README.md +5 -0
- config.json +23 -0
README.md
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A fake news detector using RoBERTa.
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Dataset: https://www.kaggle.com/clmentbisaillon/fake-and-real-news-dataset
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Training involved using hyperparameter search with 10 trials.
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config.json
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{
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"_name_or_path": "./model",
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"architectures": [
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"RobertaForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"eos_token_id": 2,
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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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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"type_vocab_size": 1,
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"vocab_size": 50265
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}
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