akhikhan123 commited on
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End of training

Browse files
README.md CHANGED
@@ -1,8 +1,8 @@
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  ---
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  license: apache-2.0
 
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  tags:
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  - generated_from_trainer
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- base_model: facebook/wav2vec2-xls-r-300m
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  metrics:
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  - wer
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  model-index:
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8086
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- - Wer: 0.4364
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  ## Model description
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@@ -50,19 +50,19 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-------:|:----:|:---------------:|:------:|
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- | 7.4037 | 2.1645 | 500 | 3.5799 | 1.0 |
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- | 2.9066 | 4.3290 | 1000 | 3.0843 | 1.0 |
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- | 2.1161 | 6.4935 | 1500 | 1.1052 | 0.7927 |
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- | 1.0022 | 8.6580 | 2000 | 0.7942 | 0.6240 |
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- | 0.6621 | 10.8225 | 2500 | 0.7538 | 0.5438 |
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- | 0.5084 | 12.9870 | 3000 | 0.6946 | 0.5070 |
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- | 0.3937 | 15.1515 | 3500 | 0.7098 | 0.4751 |
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- | 0.3267 | 17.3160 | 4000 | 0.7231 | 0.4620 |
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- | 0.2675 | 19.4805 | 4500 | 0.7481 | 0.4604 |
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- | 0.2308 | 21.6450 | 5000 | 0.7755 | 0.4594 |
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- | 0.199 | 23.8095 | 5500 | 0.7615 | 0.4438 |
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- | 0.1803 | 25.9740 | 6000 | 0.8217 | 0.4358 |
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- | 0.1599 | 28.1385 | 6500 | 0.8086 | 0.4364 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: facebook/wav2vec2-xls-r-300m
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  tags:
5
  - generated_from_trainer
 
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  metrics:
7
  - wer
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  model-index:
 
17
 
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  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7303
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+ - Wer: 0.4284
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-------:|:----:|:---------------:|:------:|
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+ | 7.3963 | 2.1834 | 500 | 3.4058 | 1.0 |
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+ | 2.9024 | 4.3668 | 1000 | 3.1374 | 1.0 |
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+ | 2.5161 | 6.5502 | 1500 | 1.4918 | 1.0610 |
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+ | 1.1536 | 8.7336 | 2000 | 0.8087 | 0.6197 |
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+ | 0.7102 | 10.9170 | 2500 | 0.6845 | 0.5452 |
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+ | 0.5177 | 13.1004 | 3000 | 0.6658 | 0.5055 |
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+ | 0.3888 | 15.2838 | 3500 | 0.6185 | 0.4784 |
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+ | 0.3311 | 17.4672 | 4000 | 0.6584 | 0.4690 |
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+ | 0.2776 | 19.6507 | 4500 | 0.6956 | 0.4529 |
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+ | 0.24 | 21.8341 | 5000 | 0.6835 | 0.4510 |
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+ | 0.203 | 24.0175 | 5500 | 0.6903 | 0.4452 |
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+ | 0.1945 | 26.2009 | 6000 | 0.7061 | 0.4332 |
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+ | 0.1627 | 28.3843 | 6500 | 0.7303 | 0.4284 |
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  ### Framework versions
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