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wav2vec2-large-xls-r-300m-zhhk

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README.md CHANGED
@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [ctl/wav2vec2-large-xlsr-cantonese](https://huggingface.co/ctl/wav2vec2-large-xlsr-cantonese) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 4.3414
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- - Cer: 0.7094
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  ## Model description
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@@ -35,7 +35,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.001
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
@@ -51,10 +51,28 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Cer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 9.2737 | 6.78 | 400 | 4.0199 | 0.8241 |
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- | 1.0554 | 13.56 | 800 | 4.2189 | 0.7531 |
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- | 0.5784 | 20.34 | 1200 | 4.3916 | 0.7212 |
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- | 0.3313 | 27.12 | 1600 | 4.3414 | 0.7094 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [ctl/wav2vec2-large-xlsr-cantonese](https://huggingface.co/ctl/wav2vec2-large-xlsr-cantonese) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 4.6213
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+ - Cer: 0.7864
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.0003
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Cer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.3317 | 1.35 | 400 | 4.5373 | 0.7915 |
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+ | 0.3303 | 2.71 | 800 | 4.5198 | 0.7915 |
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+ | 0.3288 | 4.06 | 1200 | 4.8663 | 0.8504 |
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+ | 0.2901 | 5.41 | 1600 | 4.6080 | 0.8198 |
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+ | 0.2819 | 6.77 | 2000 | 4.4941 | 0.7316 |
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+ | 0.2629 | 8.12 | 2400 | 4.6927 | 0.8021 |
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+ | 0.2363 | 9.48 | 2800 | 4.8796 | 0.8701 |
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+ | 0.2205 | 10.83 | 3200 | 4.6338 | 0.8087 |
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+ | 0.2171 | 12.18 | 3600 | 4.5740 | 0.7562 |
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+ | 0.1875 | 13.54 | 4000 | 4.6072 | 0.7992 |
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+ | 0.1824 | 14.89 | 4400 | 4.6546 | 0.7669 |
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+ | 0.178 | 16.24 | 4800 | 4.6410 | 0.7961 |
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+ | 0.1644 | 17.6 | 5200 | 4.7306 | 0.8236 |
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+ | 0.155 | 18.95 | 5600 | 4.6632 | 0.7900 |
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+ | 0.1396 | 20.3 | 6000 | 4.6239 | 0.8015 |
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+ | 0.1411 | 21.66 | 6400 | 4.6007 | 0.7793 |
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+ | 0.13 | 23.01 | 6800 | 4.5354 | 0.7475 |
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+ | 0.1232 | 24.37 | 7200 | 4.6229 | 0.7600 |
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+ | 0.1239 | 25.72 | 7600 | 4.6382 | 0.7727 |
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+ | 0.1322 | 27.07 | 8000 | 4.6734 | 0.7902 |
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+ | 0.1338 | 28.43 | 8400 | 4.6536 | 0.7861 |
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+ | 0.1353 | 29.78 | 8800 | 4.6213 | 0.7864 |
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  ### Framework versions
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