tweak

README.md

@@ -54,7 +54,7 @@ print("Prediction:", processor.batch_decode(predicted_ids))
 print("Reference:", test_dataset["sentence"][:2])
 ```
 ## Evaluation
-The model can be evaluated as follows on the Indonesian test data of Common Voice.
+The model can be evaluated as follows on the Latvian test data of Common Voice.
 ```python
 import torch
 import torchaudio
@@ -77,7 +77,7 @@ def speech_file_to_array_fn(batch):
 	return batch
 test_dataset = test_dataset.map(speech_file_to_array_fn)
 # Preprocessing the datasets.
-# We need to read the aduio files as arrays
+# We need to read the audio files as arrays
 def evaluate(batch):
 	inputs = processor(batch["speech"], sampling_rate=16_000, return_tensors="pt", padding=True)
 	with torch.no_grad():