Create README.md

README.md

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+This model is a fine-tuned version of fzwd6666/Ged_bert_new on an NLI dataset. It achieves the following results on the evaluation set:
+
+{'precision': 0.9647540983606557} {'recall': 0.9755491089929549} {'f1': 0.9701215742839481} {'accuracy': 0.9525523560209425}
+
+Training hyperparameters:
+
+learning_rate: 2e-5
+train_batch_size: 8
+eval_batch_size: 8
+optimizer: AdamW with betas=(0.9,0.999) and epsilon=1e-08
+weight_decay= 0.01
+
+lr_scheduler_type: linear
+
+num_epochs: 3
+It achieves the following results on the test set:
+Incorrect UD Padded:
+{'precision': 0.6101694915254238} {'recall': 0.6580907244414353} {'f1': 0.6332247557003257} {'accuracy': 0.5230834392206692}
+
+Incorrect UD Unigram:
+{'precision': 0.6010863005431503} {'recall': 0.6743398781313473} {'f1': 0.635609444798979} {'accuracy': 0.516306649724693}
+
+Incorrect UD Bigram:
+{'precision': 0.6137841352405722} {'recall': 0.6391333784698714} {'f1': 0.6262023217247098} {'accuracy': 0.5226598898771707}
+
+Incorrect UD All:
+{'precision': 0.6333333333333333} {'recall': 0.34732566012186866} {'f1': 0.4486226497595103} {'accuracy': 0.46590427784836935}
+
+Incorrect Sentence:
+{'precision': 0.6519031141868512} {'recall': 0.6377792823290453} {'f1': 0.6447638603696099} {'accuracy': 0.5603557814485387}