DewiBrynJones
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wav2vec2-xlsr-53-ft-btb-ccv-cy

Automatic Speech Recognition

Generated from Trainer

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DewiBrynJones commited on Aug 30

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1 Parent(s): 649c9bb

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README.md +15 -17

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@@ -2,8 +2,6 @@
 license: apache-2.0
 base_model: facebook/wav2vec2-large-xlsr-53
 tags:
-- automatic-speech-recognition
-- DewiBrynJones/banc-trawsgrifiadau-bangor-clean-with-ccv
 - generated_from_trainer
 metrics:
 - wer
@@ -17,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 # wav2vec2-xlsr-53-ft-btb-ccv-cy
-This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the DEWIBRYNJONES/BANC-TRAWSGRIFIADAU-BANGOR-CLEAN-WITH-CCV - DEFAULT dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5155
-- Wer: 0.3983
 ## Model description
@@ -53,18 +51,18 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch  | Step | Validation Loss | Wer    |
 |:-------------:|:------:|:----:|:---------------:|:------:|
-| 4.6277        | 0.0840 | 500  | 1.7781          | 0.9507 |
-| 1.2514        | 0.1680 | 1000 | 1.0467          | 0.7117 |
-| 0.986         | 0.2521 | 1500 | 0.8940          | 0.6578 |
-| 0.8702        | 0.3361 | 2000 | 0.8158          | 0.5837 |
-| 0.8063        | 0.4201 | 2500 | 0.7132          | 0.5281 |
-| 0.7518        | 0.5041 | 3000 | 0.7196          | 0.5188 |
-| 0.7045        | 0.5881 | 3500 | 0.6231          | 0.4771 |
-| 0.6726        | 0.6722 | 4000 | 0.6075          | 0.4517 |
-| 0.6355        | 0.7562 | 4500 | 0.5602          | 0.4329 |
-| 0.5938        | 0.8402 | 5000 | 0.5438          | 0.4226 |
-| 0.5842        | 0.9242 | 5500 | 0.5245          | 0.4091 |
-| 0.557         | 1.0082 | 6000 | 0.5155          | 0.3983 |
 ### Framework versions

 license: apache-2.0
 base_model: facebook/wav2vec2-large-xlsr-53
 tags:
 - generated_from_trainer
 metrics:
 - wer
 # wav2vec2-xlsr-53-ft-btb-ccv-cy
+This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.5865
+- Wer: 0.4452
 ## Model description
 | Training Loss | Epoch  | Step | Validation Loss | Wer    |
 |:-------------:|:------:|:----:|:---------------:|:------:|
+| 4.7051        | 0.0321 | 500  | 1.6562          | 0.9355 |
+| 1.0362        | 0.0641 | 1000 | 1.1840          | 0.7978 |
+| 0.811         | 0.0962 | 1500 | 1.0081          | 0.7175 |
+| 0.6903        | 0.1283 | 2000 | 0.8935          | 0.6401 |
+| 0.6238        | 0.1603 | 2500 | 0.8060          | 0.5849 |
+| 0.5649        | 0.1924 | 3000 | 0.7770          | 0.5589 |
+| 0.5309        | 0.2244 | 3500 | 0.7264          | 0.5327 |
+| 0.4892        | 0.2565 | 4000 | 0.6865          | 0.5106 |
+| 0.4521        | 0.2886 | 4500 | 0.6478          | 0.4861 |
+| 0.4309        | 0.3206 | 5000 | 0.6222          | 0.4763 |
+| 0.4055        | 0.3527 | 5500 | 0.5988          | 0.4526 |
+| 0.3896        | 0.3848 | 6000 | 0.5865          | 0.4452 |
 ### Framework versions