DylanonWic
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wav2vec2-large-asr-th-2

Automatic Speech Recognition

Generated from Trainer

Inference Endpoints

Model card Files Files and versions Community

DylanonWic commited on May 1, 2023

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update model card README.md

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@@ -15,9 +15,9 @@ 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: 0.2648
-- Wer: 0.3228
-- Cer: 0.0886
 ## Model description
@@ -52,10 +52,10 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
-| 0.1049        | 0.18  | 1000 | 0.4932          | 0.3234 | 0.0887 |
-| 0.1243        | 0.36  | 2000 | 0.4899          | 0.3281 | 0.0901 |
-| 0.2251        | 0.53  | 3000 | 0.4109          | 0.3290 | 0.0902 |
-| 0.817         | 0.71  | 4000 | 0.2648          | 0.3228 | 0.0886 |
 ### Framework versions

 This model was trained from scratch on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.2713
+- Wer: 0.3245
+- Cer: 0.0892
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| 0.0865        | 0.18  | 1000 | 0.5156          | 0.3249 | 0.0892 |
+| 0.1075        | 0.36  | 2000 | 0.5144          | 0.3265 | 0.0899 |
+| 0.1973        | 0.53  | 3000 | 0.4405          | 0.3298 | 0.0905 |
+| 0.8348        | 0.71  | 4000 | 0.2713          | 0.3245 | 0.0892 |
 ### Framework versions