Update README.md

README.md

@@ -1,8 +1 @@
-This model is a fine-tune checkpoint of DistilBERT-base-uncased, fine-tuned on SST-2. This model reaches an accuracy of 91.3 on the dev set (for comparison, Bert bert-base-uncased version reaches an accuracy of 92.7).
-
-Fine-tuning hyper-parameters
-learning_rate = 1e-5
-batch_size = 32
-warmup = 600
-max_seq_length = 128
-num_train_epochs = 3.0
+This is just a test