Merge branch 'master' of...

Merge branch 'master' of https://gitlab.cl.uni-heidelberg.de/friebolin/swp-data-augmentation-for-metonymy-resolution

Code/Results/high_temp_fused_bert_base_rs1_baselines_corrected_semeval.txt

+Namespace(architecture='bert-base-uncased', batch_size=10, epochs=5, gradient_accumulation_steps=15, lambda_value=0.4, learning_rate=5e-05, masking=False, max_length=512, mix_up=False, mixlayer=None, mixup_epoch=1, model_type='one', random_seed=1, save_directory='./Results/high_temp_fused_bert_base_rs1_baselines_corrected_semeval.txt', tcontext=False, test_batch_size=10, test_dataset='../datasets/data_splits/semeval_test.txt', threshold=0.05, tmix=False, tokenizer='swp', train_dataset='../datasets/data_splits/high_temp_fused_semeval_loc.txt', train_loop='swp', vcontext=False){'accuracy': 0.8777533039647577, 'f1': 0.672566371681416, 'precision': 0.75, 'recall': 0.6096256684491979}{'accuracy': 1.0, 'f1': 1.0, 'precision': 1.0, 'recall': 1.0}
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Code/Results/high_temp_fused_bert_base_rs38_baselines_corrected_semeval.txt

+Namespace(architecture='bert-base-uncased', batch_size=10, epochs=5, gradient_accumulation_steps=15, lambda_value=0.4, learning_rate=5e-05, masking=False, max_length=512, mix_up=False, mixlayer=None, mixup_epoch=1, model_type='one', random_seed=38, save_directory='./Results/high_temp_fused_bert_base_rs38_baselines_corrected_semeval.txt', tcontext=False, test_batch_size=10, test_dataset='../datasets/data_splits/semeval_test.txt', threshold=0.05, tmix=False, tokenizer='swp', train_dataset='../datasets/data_splits/high_temp_fused_semeval_loc.txt', train_loop='swp', vcontext=False){'accuracy': 0.8810572687224669, 'f1': 0.6707317073170731, 'precision': 0.7801418439716312, 'recall': 0.5882352941176471}{'accuracy': 1.0, 'f1': 1.0, 'precision': 1.0, 'recall': 1.0}
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Code/Results/high_temp_fused_bert_base_rs42_baselines_corrected_semeval.txt

+Namespace(architecture='bert-base-uncased', batch_size=10, epochs=5, gradient_accumulation_steps=15, lambda_value=0.4, learning_rate=5e-05, masking=False, max_length=512, mix_up=False, mixlayer=None, mixup_epoch=1, model_type='one', random_seed=42, save_directory='./Results/high_temp_fused_bert_base_rs42_baselines_corrected_semeval.txt', tcontext=False, test_batch_size=10, test_dataset='../datasets/data_splits/semeval_test.txt', threshold=0.05, tmix=False, tokenizer='swp', train_dataset='../datasets/data_splits/high_temp_fused_semeval_loc.txt', train_loop='swp', vcontext=False){'accuracy': 0.8821585903083701, 'f1': 0.6805970149253731, 'precision': 0.7702702702702703, 'recall': 0.6096256684491979}{'accuracy': 1.0, 'f1': 1.0, 'precision': 1.0, 'recall': 1.0}
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Code/Results/high_temp_fused_bert_base_rs666_baselines_corrected_semeval.txt

+Namespace(architecture='bert-base-uncased', batch_size=10, epochs=5, gradient_accumulation_steps=15, lambda_value=0.4, learning_rate=5e-05, masking=False, max_length=512, mix_up=False, mixlayer=None, mixup_epoch=1, model_type='one', random_seed=666, save_directory='./Results/high_temp_fused_bert_base_rs666_baselines_corrected_semeval.txt', tcontext=False, test_batch_size=10, test_dataset='../datasets/data_splits/semeval_test.txt', threshold=0.05, tmix=False, tokenizer='swp', train_dataset='../datasets/data_splits/high_temp_fused_semeval_loc.txt', train_loop='swp', vcontext=False){'accuracy': 0.8909691629955947, 'f1': 0.6972477064220183, 'precision': 0.8142857142857143, 'recall': 0.6096256684491979}{'accuracy': 1.0, 'f1': 1.0, 'precision': 1.0, 'recall': 1.0}
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Code/Results/high_temp_fused_bert_base_rs99_baselines_corrected_semeval.txt

+Namespace(architecture='bert-base-uncased', batch_size=10, epochs=5, gradient_accumulation_steps=15, lambda_value=0.4, learning_rate=5e-05, masking=False, max_length=512, mix_up=False, mixlayer=None, mixup_epoch=1, model_type='one', random_seed=99, save_directory='./Results/high_temp_fused_bert_base_rs99_baselines_corrected_semeval.txt', tcontext=False, test_batch_size=10, test_dataset='../datasets/data_splits/semeval_test.txt', threshold=0.05, tmix=False, tokenizer='swp', train_dataset='../datasets/data_splits/high_temp_fused_semeval_loc.txt', train_loop='swp', vcontext=False){'accuracy': 0.8931718061674009, 'f1': 0.6996904024767802, 'precision': 0.8308823529411765, 'recall': 0.6042780748663101}{'accuracy': 1.0, 'f1': 1.0, 'precision': 1.0, 'recall': 1.0}
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Code/mean_deviation_results.py

@@ -166,6 +166,14 @@ par_reloc_f1 = [0.9309664694280079, 0.9365853658536585, 0.9329446064139942, 0.92
 par_reloc_prec = [0.944, 0.9393346379647749, 0.9320388349514563, 0.9366336633663367, 0.9438877755511023]
 par_reloc_rec = [0.9182879377431906, 0.933852140077821, 0.933852140077821, 0.9202334630350194, 0.9163424124513618]
 
+
+#paraphrases with high temp
+high_loc_acc = [0.8777533039647577, 0.8810572687224669, 0.8821585903083701]
+high_loc_f1 = [0.672566371681416, 0.6707317073170731, 0.6805970149253731]
+high_loc_prec = [0.75, 0.7801418439716312, 0.7702702702702703]
+high_loc_rec = [0.6096256684491979, 0.5882352941176471, 0.6096256684491979]
+
+
 # Original array
 array1 = par_loc_acc
 #array2= roberta_context_split_comp_acc