Update README.md

README.md

@@ -2,12 +2,21 @@
 language: en
 tags:
 - pythae
+- reproducibility
 license: apache-2.0
 ---
 
-### Downloading this model from the Hub
 This model was trained with pythae. It can be downloaded or reloaded using the method `load_from_hf_hub`
 ```python
 >>> from pythae.models import AutoModel
->>> model = AutoModel.load_from_hf_hub(hf_hub_path="your_hf_username/repo_name")
+>>> model = AutoModel.load_from_hf_hub(hf_hub_path="clementchadebec/reproduced_vae")
 ```
+
+## Reproducibility
+This trained model reproduces the results of the VAE used in Table 1 in [1].
+
+| Model | Dataset | Metric | Obtained value | Reference value |
+|:---:|:---:|:---:|:---:|:---:|
+| VAE | Binary MNIST | NLL (200 IS) | 89.78 (0.01) | 89.9 (0.31) |
+
+[1] Danilo Rezende and Shakir Mohamed. Variational inference with normalizing flows. In International Conference on Machine Learning, pages 1530–1538. PMLR, 2015