EzraWilliam commited on
Commit
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1 Parent(s): 0b99eed

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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  datasets:
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  - common_voice_13_0
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  metrics:
@@ -11,8 +11,8 @@ model-index:
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  - name: wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod19
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  results:
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  - task:
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- type: automatic-speech-recognition
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  name: Automatic Speech Recognition
 
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  dataset:
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  name: common_voice_13_0
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  type: common_voice_13_0
@@ -20,9 +20,9 @@ model-index:
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  split: test
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  args: id
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  metrics:
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- - type: wer
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- value: 0.34075405604719766
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- name: Wer
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod19
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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 the common_voice_13_0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3575
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- - Wer: 0.3408
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  ## Model description
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@@ -65,15 +65,15 @@ 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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- | 2.9583 | 1.0 | 278 | 2.9214 | 1.0 |
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- | 2.8606 | 2.0 | 556 | 2.7724 | 1.0 |
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- | 1.1528 | 3.0 | 834 | 0.6902 | 0.6319 |
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- | 0.7003 | 4.0 | 1112 | 0.4844 | 0.4883 |
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- | 0.5853 | 5.0 | 1390 | 0.4030 | 0.4158 |
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- | 0.4685 | 6.0 | 1668 | 0.3945 | 0.3838 |
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- | 0.4273 | 7.0 | 1946 | 0.3824 | 0.3687 |
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- | 0.4116 | 8.0 | 2224 | 0.3643 | 0.3474 |
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- | 0.3858 | 9.0 | 2502 | 0.3575 | 0.3408 |
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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-large-xlsr-53
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  tags:
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  - generated_from_trainer
 
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  datasets:
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  - common_voice_13_0
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  metrics:
 
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  - name: wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod19
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  results:
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  - task:
 
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  name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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  dataset:
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  name: common_voice_13_0
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  type: common_voice_13_0
 
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  split: test
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  args: id
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  metrics:
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+ - name: Wer
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+ type: wer
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+ value: 0.37509218289085544
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod19
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+ This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice_13_0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3817
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+ - Wer: 0.3751
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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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+ | 2.9461 | 1.0 | 278 | 2.9213 | 1.0 |
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+ | 2.8707 | 2.0 | 556 | 2.7842 | 1.0 |
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+ | 1.2835 | 3.0 | 834 | 0.6652 | 0.6095 |
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+ | 0.731 | 4.0 | 1112 | 0.4922 | 0.4826 |
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+ | 0.6299 | 5.0 | 1390 | 0.4429 | 0.4414 |
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+ | 0.5139 | 6.0 | 1668 | 0.4123 | 0.4020 |
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+ | 0.4785 | 7.0 | 1946 | 0.3932 | 0.3874 |
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+ | 0.4636 | 8.0 | 2224 | 0.3895 | 0.3798 |
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+ | 0.4381 | 9.0 | 2502 | 0.3817 | 0.3751 |
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  ### Framework versions
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