new run

README.md

@@ -110,4 +110,4 @@ def evaluate(batch):
 result = test_dataset.map(evaluate, batched=True, batch_size=8)
 print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"], references=result["sentence"])))
 ```
-**Test Result**: 47.4 %
+**Test Result**: 43.7 %

pytorch_model.bin

@@ -1,3 +1,3 @@
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 size 1262073239

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9256c4208cbdf8950b4af82e107d87aacce41cfe50b09097d7bacd898b1d9952
+oid sha256:1e153bfab921c0ecf2614bd33d36bf75c3a81ef0c6d9f75e345bc6f4fced7f4b
 size 2351

vocab.json

@@ -1 +1 @@
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