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@@ -3,6 +3,9 @@ license: mit
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  base_model: facebook/w2v-bert-2.0
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  tags:
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  - generated_from_trainer
 
 
 
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  datasets:
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  - common_voice_16_1
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  metrics:
@@ -30,12 +33,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # w2v-bert-2.0-pt_pt_v2
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- This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the common_voice_16_1 dataset.
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- It achieves the following results on the evaluation set using 1XRTX 3090:
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- - Loss: 0.1282
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- - Wer: 0.0832
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- - Cer: 0.0224
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- - Bert Score: 0.9739
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  ## Model description
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  base_model: facebook/w2v-bert-2.0
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  tags:
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  - generated_from_trainer
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+ - asr
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+ - Portugal
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+ - portuguese
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  datasets:
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  - common_voice_16_1
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  metrics:
 
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  # w2v-bert-2.0-pt_pt_v2
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+ This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the common_voice_16_1 dataset using 1XRTX 3090.
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+ It achieves the following results on the test set:
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+ - Wer: 0.0915
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+ - Cer: 0.0264
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+ - Bert Score: 0.9702
 
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  ## Model description
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