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classification_report_test_id.txt

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+Classification Report � test_id
+======================================================================
+
+                 precision    recall  f1-score   support
+
+Non-Gaslighting     0.7778    0.7887    0.7832        71
+    Gaslighting     0.7761    0.7647    0.7704        68
+
+       accuracy                         0.7770       139
+      macro avg     0.7769    0.7767    0.7768       139
+   weighted avg     0.7770    0.7770    0.7769       139

config.json

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+{
+  "add_cross_attention": false,
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "dtype": "float32",
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Non-Gaslighting",
+    "1": "Gaslighting"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "is_decoder": false,
+  "label2id": {
+    "Gaslighting": 1,
+    "Non-Gaslighting": 0
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "tie_word_embeddings": true,
+  "transformers_version": "5.0.0",
+  "type_vocab_size": 1,
+  "use_cache": false,
+  "vocab_size": 30000
+}

confusion_matrix_test_id.csv

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+,Non-Gaslighting,Gaslighting
+Non-Gaslighting,56,15
+Gaslighting,16,52

evaluation_results.json

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+{
+  "val": {
+    "loss": 0.4802882671356201,
+    "accuracy": 0.8461538461538461,
+    "gaslighting_precision": 0.8571428571428571,
+    "gaslighting_recall": 0.8333333333333334,
+    "gaslighting_f1": 0.8450704225352113,
+    "macro_f1": 0.8461463223787167,
+    "roc_auc": 0.9079616588419406,
+    "mcc": 0.6926237659475927,
+    "runtime": 11.8064,
+    "samples_per_second": 12.112,
+    "steps_per_second": 0.762,
+    "epoch": 8.0
+  },
+  "test_id": {
+    "loss": 0.5270387530326843,
+    "accuracy": 0.7769784172661871,
+    "gaslighting_precision": 0.7761194029850746,
+    "gaslighting_recall": 0.7647058823529411,
+    "gaslighting_f1": 0.7703703703703704,
+    "macro_f1": 0.7767935767935767,
+    "roc_auc": 0.8905343827671914,
+    "mcc": 0.553667681196024,
+    "runtime": 12.0442,
+    "samples_per_second": 11.541,
+    "steps_per_second": 0.747,
+    "epoch": 8.0
+  }
+}

model.safetensors

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+size 436358704

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "errors": "replace",
+  "is_local": false,
+  "mask_token": "<mask>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

training_args.bin

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