Update README.md

README.md

@@ -25,6 +25,19 @@ This is a [SetFit model](https://github.com/huggingface/setfit) that can be used
 1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
 2. Training a classification head with features from the fine-tuned Sentence Transformer.
 
+## Train Hyperparameters
+
+* Simulate the few-shot regime by sampling 25 examples per class
+* Sentence Transformer checkpoint: *"sentence-transformers/paraphrase-distilroberta-base-v2"*
+* Number of text pairs to generate for contrastive learning: 10
+* Epochs: 1
+* Batch size: 32
+
+## Metrics on Evaluation set
+
+* accuracy score: 0.8529
+* f1 score: 0.8527
+
 ## Usage
 
 To use this model for inference, first install the SetFit library: