scasutt
/

wav2vec2-large-xlsr-53_full_train_full_train

Automatic Speech Recognition

generated_from_trainer

Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

scasutt commited on May 16, 2022

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f040280

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update model card README.md

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@@ -13,8 +13,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model was trained from scratch on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4097
-- Wer: 0.3828
 ## Model description
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.6181        | 1.35  | 1000 | 0.2347          | 0.3037 |
-| 0.5368        | 2.69  | 2000 | 0.4097          | 0.3828 |
 ### Framework versions

 This model was trained from scratch on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.8369
+- Wer: 0.5052
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.533         | 1.35  | 1000 | 0.3547          | 0.3483 |
+| 0.4531        | 2.69  | 2000 | 0.8369          | 0.5052 |
 ### Framework versions