End of training
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README.md
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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_11_0
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metrics:
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- wer
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model-index:
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- name: wav2vec2-large-xlsr-53-demo-colab
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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_11_0
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type: common_voice_11_0
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config: hi
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split: test
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args: hi
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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
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# wav2vec2-large-xlsr-53-demo-colab
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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
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It achieves the following results on the evaluation set:
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- Loss:
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- Wer: 1.0
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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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| No log | 0
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| No log | 0
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### Framework versions
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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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metrics:
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- wer
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model-index:
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- name: wav2vec2-large-xlsr-53-demo-colab
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results: []
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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-large-xlsr-53-demo-colab
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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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 76.9029
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- Wer: 1.0
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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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| No log | 2.0 | 10 | 135.3861 | 1.0 |
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| No log | 4.0 | 20 | 76.9029 | 1.0 |
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### Framework versions
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model.safetensors
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runs/Jan02_10-22-18_94426b84180c/events.out.tfevents.1704190942.94426b84180c.2045.0
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