Akashpb13
/

xlsr_maltese_wav2vec2

Automatic Speech Recognition Transformers PyTorch JAX

Maltese wav2vec2 audio speech xlsr-fine-tuning-week Eval Results Inference Endpoints

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Akashpb13 commited on Mar 31, 2021

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@@ -21,7 +21,7 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: 32.77
 ---
 # Wav2Vec2-Large-XLSR-53-Maltese
 Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) in Maltese using the [Common Voice](https://huggingface.co/datasets/common_voice)
@@ -41,7 +41,7 @@ import sys
 model_name = "Akashpb13/xlsr_maltese_wav2vec2"
 device = "cuda"
-chars_to_ignore_regex = '[\,\?\.\!\-\;\:\"\“\%\‘\”\�\)\(\*)]'
 model = Wav2Vec2ForCTC.from_pretrained(model_name).to(device)
 processor = Wav2Vec2Processor.from_pretrained(model_name)

     metrics:
        - name: Test WER
          type: wer
+         value: 32.83
 ---
 # Wav2Vec2-Large-XLSR-53-Maltese
 Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) in Maltese using the [Common Voice](https://huggingface.co/datasets/common_voice)
 model_name = "Akashpb13/xlsr_maltese_wav2vec2"
 device = "cuda"
+chars_to_ignore_regex = '[\\,\\?\\.\\!\\-\\;\\:\\"\\“\\%\\‘\\”\\�\\)\\(\\*)]'
 model = Wav2Vec2ForCTC.from_pretrained(model_name).to(device)
 processor = Wav2Vec2Processor.from_pretrained(model_name)