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README.md

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+---
+language: en
+thumbnail: 
+tags:
+- pytorch
+- text-classification
+license: 
+datasets:
+- MNLI
+---
+
+# distilbert-base-uncased finetuned on MNLI
+
+## Model Details and Training Data
+
+We used the pretrained model from [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) and finetuned it on [MultiNLI](https://cims.nyu.edu/~sbowman/multinli/) dataset. 
+
+The training parameters were kept the same as [Devlin et al., 2019](https://arxiv.org/abs/1810.04805) (learning rate = 2e-5, training epochs = 3, max_sequence_len = 128 and batch_size = 32).
+
+## Evaluation Results
+
+The evaluation results are mentioned in the table below.
+
+| Test Corpus | Accuracy |
+|:---:|:---------:|
+| Matched | 0.8223 |
+| Mismatched | 0.8216 |
+