New NEC and NER results after FIGER dataset fix

src/experiments/NEC_evaluation/evaluation.py

@@ -62,14 +62,14 @@ def run_NEC_tests(model_name, dataset, results_dir, test_instances=10):
                 txt_file.write(f"\nSentence: {sentence}")
                 txt_file.write(f"\nEntity: {entity_name}")
                 txt_file.write(f"\nTrue Label(s): {', '.join(true_labels)}")
-                txt_file.write(f"\nPredicted Label: {predicted_label}")
+                txt_file.write(f"\nPredicted Label: {predicted_label}\n")
                 txt_file.write("-" * 50 + "\n\n")
 
     print(f"Results saved to:\n  CSV: {csv_filename}\n  TXT: {txt_filename}")
 
 
 def run_NEC_tests_all():
-    models = ["GLiNER", "Llama-3.1-8B", "T5-NLI", "T5-MLM-label", "T5-MLM-entity", "DeepSeek-R1-Distill-Qwen-32B"]  # "GLiNER", "Llama-3.1-8B", "T5-NLI", "T5-MLM-label", "T5-MLM-entity", "Word2Vec"
+    models = ["GLiNER", "Llama-3.1-8B", "T5-NLI", "T5-MLM-label", "T5-MLM-entity", "DeepSeek-R1-Distill-Qwen-32B"]  # "Word2Vec"
     datasets = ["CoNLL", "FIGER-coarse", "FIGER-fine"]  # "Pile-NER-type"]
     for model in models:
         for dataset in datasets: