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classification_report_test_id.txt ADDED
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+ Classification Report � test_id
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+ ======================================================================
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+
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+ precision recall f1-score support
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+
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+ Non-Gaslighting 0.7662 0.8551 0.8082 69
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+ Gaslighting 0.8413 0.7465 0.7910 71
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+
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+ accuracy 0.8000 140
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+ macro avg 0.8038 0.8008 0.7996 140
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+ weighted avg 0.8043 0.8000 0.7995 140
config.json CHANGED
@@ -34,7 +34,6 @@
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  "pooler_num_fc_layers": 3,
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  "pooler_size_per_head": 128,
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  "pooler_type": "first_token_transform",
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- "problem_type": "single_label_classification",
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  "tie_word_embeddings": true,
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  "transformers_version": "5.0.0",
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  "type_vocab_size": 2,
 
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  "pooler_num_fc_layers": 3,
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  "pooler_size_per_head": 128,
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  "pooler_type": "first_token_transform",
 
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  "tie_word_embeddings": true,
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  "transformers_version": "5.0.0",
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  "type_vocab_size": 2,
confusion_matrix_test_id.csv ADDED
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+ ,Non-Gaslighting,Gaslighting
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+ Non-Gaslighting,59,10
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+ Gaslighting,18,53
evaluation_results.json ADDED
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+ {
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+ "val": {
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+ "runtime": 12.6858,
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+ "samples_per_second": 10.957,
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+ },
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+ "loss": 0.4768580198287964,
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+ "accuracy": 0.8,
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+ "gaslighting_precision": 0.8412698412698413,
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+ "gaslighting_recall": 0.7464788732394366,
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+ "gaslighting_f1": 0.7910447761194029,
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+ "macro_f1": 0.7996319771007974,
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+ "roc_auc": 0.8361910593998776,
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+ "mcc": 0.604520146339811,
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+ "runtime": 12.7427,
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+ "samples_per_second": 10.987,
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+ "steps_per_second": 0.706,
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+ "epoch": 8.0
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+ }
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