Update README.md

README.md

@@ -93,8 +93,6 @@ QuartzNet models take in audio segments and transcribe them to letter, byte pair
 
 All training scripts will be available at: [DominguesM/stt_pt_quartznet15x5_ctc_small](https://github.com/DominguesM/stt_pt_quartznet15x5_ctc_small)
 
-**Soon more information**
-
 
 ### Datasets
 
@@ -104,12 +102,45 @@ The model was trained with a part of the Common Voices 9.0 dataset in Portuguese
 
 ## Performance
 
-**Coming soon**
+| Metric | Score |
+| ------- | ----- |
+| WER     | 49%   |
+| CER     | 18%   |
+
+The metrics were obtained using the following code:
+
+**Attention**: The steps below must be performed after downloading the dataset (Mozilla Commom Voices 9.0 PT) and following the steps of pre-processing the audio data and `manifest` files contained in the file [`notebooks/Finetuning CTC model Portuguese.ipynb`](https://github.com/DominguesM/stt_pt_quartznet15x5_ctc_small)
+
+```bash
+$ wget -P scripts/ "https://raw.githubusercontent.com/NVIDIA/NeMo/v1.9.0/examples/asr/speech_to_text_eval.py"
+
+$ wget -P scripts/ "https://raw.githubusercontent.com/NVIDIA/NeMo/v1.9.0/examples/asr/transcribe_speech.py"
+
+$ python scripts/speech_to_text_eval.py \
+    pretrained_name="dominguesm/stt_pt_quartznet15x5_ctc_small" \
+    dataset_manifest="manifests/pt/commonvoice_test_manifest_processed.json" \
+    output_filename="./evaluation_transcripts.json" \
+    batch_size=32 \
+    amp=true \
+    use_cer=false
+```
 
 ## Limitations
 
 Since this model was trained on publically available speech datasets, the performance of this model might degrade for speech which includes technical terms, or vernacular that the model has not been trained on. The model might also perform worse for accented speech.
 
+## Citation
+
+If you use our work, please cite:
+
+```cite
+@misc{domingues2022quartznet15x15-small-portuguese,
+  title={Fine-tuned {Quartznet}-15x5 CTC small model for speech recognition in {P}ortuguese},
+  author={Domingues, Maicon},
+  howpublished={\url{https://huggingface.co/dominguesm/stt_pt_quartznet15x5_ctc_small}},
+  year={2022}
+}
+```
 
 ## References