EzraWilliam commited on
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End of training

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README.md CHANGED
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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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  metrics:
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  - name: Wer
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  type: wer
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- value: 1.0
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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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  # XLS-R-demo-google-colab-Ezra_William_Prod_3
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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: 2.3315
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- - Wer: 1.0
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  ## Model description
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Wer |
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- |:-------------:|:-----:|:----:|:---------------:|:---:|
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- | 5.5808 | 1.0 | 121 | 2.9812 | 1.0 |
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- | 2.9599 | 2.0 | 242 | 2.9396 | 1.0 |
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- | 2.9317 | 3.0 | 363 | 2.9082 | 1.0 |
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- | 2.9194 | 4.0 | 484 | 2.9076 | 1.0 |
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- | 2.9058 | 5.0 | 605 | 2.8958 | 1.0 |
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- | 2.8962 | 6.0 | 726 | 2.8816 | 1.0 |
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- | 2.8732 | 7.0 | 847 | 2.8341 | 1.0 |
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- | 2.8555 | 8.0 | 968 | 2.6998 | 1.0 |
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- | 2.7654 | 9.0 | 1089 | 2.4282 | 1.0 |
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- | 2.4844 | 10.0 | 1210 | 2.3315 | 1.0 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: EzraWilliam/XLS-R-demo-google-colab-Ezra_William_Prod_3
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  tags:
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  - generated_from_trainer
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  datasets:
 
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 0.5589213319364096
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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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  # XLS-R-demo-google-colab-Ezra_William_Prod_3
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+ This model is a fine-tuned version of [EzraWilliam/XLS-R-demo-google-colab-Ezra_William_Prod_3](https://huggingface.co/EzraWilliam/XLS-R-demo-google-colab-Ezra_William_Prod_3) 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: 0.6384
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+ - Wer: 0.5589
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 2.1618 | 1.0 | 121 | 1.3936 | 0.9716 |
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+ | 1.4458 | 2.0 | 242 | 0.9181 | 0.7821 |
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+ | 1.0146 | 3.0 | 363 | 0.7892 | 0.7048 |
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+ | 0.8449 | 4.0 | 484 | 0.7344 | 0.6507 |
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+ | 0.652 | 5.0 | 605 | 0.6840 | 0.6268 |
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+ | 0.593 | 6.0 | 726 | 0.6598 | 0.5980 |
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+ | 0.5549 | 7.0 | 847 | 0.6494 | 0.5817 |
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+ | 0.5206 | 8.0 | 968 | 0.6572 | 0.5759 |
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+ | 0.4958 | 9.0 | 1089 | 0.6376 | 0.5646 |
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+ | 0.4683 | 10.0 | 1210 | 0.6384 | 0.5589 |
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  ### Framework versions
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