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End of training
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README.md
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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:
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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
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split: test
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args: id
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metrics:
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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-
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer: 0.
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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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### 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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model.safetensors
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