patrickvonplaten
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Update README.md
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README.md
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@@ -23,7 +23,7 @@ results:
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metrics:
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- name: Test WER
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type: wer
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value:
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---
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# Wav2Vec2-Large-XLSR-53-Mongolian
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@@ -108,7 +108,7 @@ def evaluate(batch):
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with torch.no_grad():
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logits = model(inputs.input_values.to("cuda"), attention_mask=inputs.attention_mask.to("cuda")).logits
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-
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batch["pred_strings"] = processor.batch_decode(pred_ids)
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return batch
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metrics:
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- name: Test WER
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type: wer
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value: 45.82
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---
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# Wav2Vec2-Large-XLSR-53-Mongolian
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with torch.no_grad():
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logits = model(inputs.input_values.to("cuda"), attention_mask=inputs.attention_mask.to("cuda")).logits
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pred_ids = torch.argmax(logits, dim=-1)
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batch["pred_strings"] = processor.batch_decode(pred_ids)
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return batch
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