switched to 50% Bert instead of 25%
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beb9eedc1f
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b55fc02ede
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@ -1,25 +0,0 @@
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{
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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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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 384,
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"initializer_range": 0.02,
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"intermediate_size": 1536,
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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": 6,
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"num_hidden_layers": 6,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.44.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 119547
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}
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@ -114,7 +114,7 @@ if __name__ == '__main__':
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train_df, val_df = train_test_split(df, test_size=0.35, random_state=42)
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train_df, val_df = train_test_split(df, test_size=0.35, random_state=42)
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# Initialize and train the model
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# Initialize and train the model
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trainer = FakeNewsModelTrainer(size_factor=0.25)
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trainer = FakeNewsModelTrainer(size_factor=0.5)
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train_data = trainer.prepare_data(train_df)
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train_data = trainer.prepare_data(train_df)
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val_data = trainer.prepare_data(val_df)
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val_data = trainer.prepare_data(val_df)
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trainer.train(train_data, val_data)
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trainer.train(train_data, val_data)
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