i really should've proofread this first

README.md

@@ -49,6 +49,7 @@ This model is a fine-tuned version of [openai/whisper-small](https://huggingface
 It achieves the following results on the common_voice_11_0 evaluation set:
 - Loss: 0.3872
 - Wer: 23.6509
+
 It achieves the following results on the FLEURS evaluation set:
 - Wer: 47.15
 
@@ -66,11 +67,13 @@ More information needed
 ## Training and evaluation data
 
 Training was performed using the train and evaluation splits from [Mozilla's Common Voice 11](https://huggingface.co/mozilla-foundation/common_voice_11_0) and [Google's FLEURS](https://huggingface.co/google/fleurs) datasets.
+
 Testing was performed using the test splits from the same datasets.
 
 ## Training procedure
 
-Training and CV11 testing was performed using a modified version of the [run_speech_recognition_seq2seq_streaming.py](https://github.com/kamfonas/whisper-fine-tuning-event/blob/e0377f55004667f18b37215d11bf0e54f5bda463/run_speech_recognition_seq2seq_streaming.py) script by farsipal, which enabled training on multiple datasets in a convenient way.
+Training and CV11 testing was performed using a modified version of Hugging Face's [run_speech_recognition_seq2seq_streaming.py](https://github.com/kamfonas/whisper-fine-tuning-event/blob/e0377f55004667f18b37215d11bf0e54f5bda463/run_speech_recognition_seq2seq_streaming.py) script by Michael Kamfonas.
+
 FLEURS testing was performed using the standard [run_eval_whisper_streaming.py](https://github.com/huggingface/community-events/blob/main/whisper-fine-tuning-event/run_eval_whisper_streaming.py) script.
 
 ### Training hyperparameters