hadiqa123
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xls-r_cv_ur

Automatic Speech Recognition

Generated from Trainer

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Model card Files Files and versions Metrics Training metrics Community

hadiqa123 commited on Mar 15, 2023

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update model card README.md

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@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5811
 - Wer: 1.0
 ## Model description
@@ -48,23 +48,23 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Wer |
 |:-------------:|:-----:|:----:|:---------------:|:---:|
-| 8.2414        | 1.14  | 100  | 2.2232          | 1.0 |
-| 1.9235        | 2.27  | 200  | 1.8280          | 1.0 |
-| 1.8174        | 3.41  | 300  | 1.8247          | 1.0 |
-| 1.8305        | 4.55  | 400  | 1.7873          | 1.0 |
-| 1.7604        | 5.68  | 500  | 1.7839          | 1.0 |
-| 1.7727        | 6.82  | 600  | 1.7499          | 1.0 |
-| 1.7474        | 7.95  | 700  | 1.7209          | 1.0 |
-| 1.7105        | 9.09  | 800  | 1.6658          | 1.0 |
-| 1.6932        | 10.23 | 900  | 1.5940          | 1.0 |
-| 1.6064        | 11.36 | 1000 | 1.4630          | 1.0 |
-| 1.4748        | 12.5  | 1100 | 1.1940          | 1.0 |
-| 1.2831        | 13.64 | 1200 | 0.9712          | 1.0 |
-| 1.1637        | 14.77 | 1300 | 0.8227          | 1.0 |
-| 1.0745        | 15.91 | 1400 | 0.7349          | 1.0 |
-| 0.9797        | 17.05 | 1500 | 0.6512          | 1.0 |
-| 0.9098        | 18.18 | 1600 | 0.6124          | 1.0 |
-| 0.8953        | 19.32 | 1700 | 0.5811          | 1.0 |
 ### Framework versions

 This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.4888
 - Wer: 1.0
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Wer |
 |:-------------:|:-----:|:----:|:---------------:|:---:|
+| 8.4361        | 1.14  | 100  | 2.3733          | 1.0 |
+| 1.9609        | 2.27  | 200  | 1.8280          | 1.0 |
+| 1.8191        | 3.41  | 300  | 1.8259          | 1.0 |
+| 1.8359        | 4.55  | 400  | 1.8069          | 1.0 |
+| 1.7667        | 5.68  | 500  | 1.8038          | 1.0 |
+| 1.7751        | 6.82  | 600  | 1.7473          | 1.0 |
+| 1.7428        | 7.95  | 700  | 1.6996          | 1.0 |
+| 1.697         | 9.09  | 800  | 1.6364          | 1.0 |
+| 1.6532        | 10.23 | 900  | 1.4985          | 1.0 |
+| 1.5217        | 11.36 | 1000 | 1.2836          | 1.0 |
+| 1.3385        | 12.5  | 1100 | 1.0293          | 1.0 |
+| 1.1596        | 13.64 | 1200 | 0.8294          | 1.0 |
+| 1.0655        | 14.77 | 1300 | 0.7150          | 1.0 |
+| 0.9951        | 15.91 | 1400 | 0.6364          | 1.0 |
+| 0.9013        | 17.05 | 1500 | 0.5548          | 1.0 |
+| 0.8276        | 18.18 | 1600 | 0.5200          | 1.0 |
+| 0.8129        | 19.32 | 1700 | 0.4888          | 1.0 |
 ### Framework versions