Updated README

README.md

@@ -25,6 +25,11 @@ The dataset is available on [HuggingFace Hub](https://huggingface.co/datasets/FB
 
 This is the [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) model fine-tuned on the de-DE language.
 
+It achieves the following results on the test set:
+
+- Accuracy: 0.681
+- F1: 0.584	
+  
 ## Usage
 
 You can use the model directly in the following manner:
@@ -47,3 +52,20 @@ inputs = feature_extractor(audio_array.squeeze(), sampling_rate=feature_extracto
 ## Compute logits
 logits = model(**inputs).logits
 ```
+
+## Framework versions
+
+- Datasets 3.2.0
+- Pytorch 2.1.2
+- Tokenizers 0.20.3
+- Transformers 4.45.2
+
+## BibTeX entry and citation info
+
+```bibtex
+@inproceedings{koudounas2025unlearning,
+  title={"Alexa, can you forget me?" Machine Unlearning Benchmark in Spoken Language Understanding},
+  author={Koudounas, Alkis and Savelli, Claudio and Giobergia, Flavio and Baralis, Elena},
+  booktitle={Proc. Interspeech 2025}, 
+  year={2025},
+}