EzraWilliam
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End of training
Browse files
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_Prod16
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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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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.
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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-xls-r-300m
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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_Prod16
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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: 0.3030973451327434
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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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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: 0.3355
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- Wer: 0.3031
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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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| 2.9606 | 1.0 | 278 | 2.9210 | 1.0 |
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| 2.8429 | 2.0 | 556 | 2.1290 | 1.0 |
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| 0.9644 | 3.0 | 834 | 0.5957 | 0.5614 |
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| 0.6414 | 4.0 | 1112 | 0.4595 | 0.4643 |
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| 0.5396 | 5.0 | 1390 | 0.4189 | 0.4090 |
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| 0.4334 | 6.0 | 1668 | 0.3778 | 0.3670 |
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| 0.3939 | 7.0 | 1946 | 0.3777 | 0.3544 |
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| 0.3738 | 8.0 | 2224 | 0.3511 | 0.3355 |
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| 0.3387 | 9.0 | 2502 | 0.3569 | 0.3240 |
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| 0.3071 | 10.0 | 2780 | 0.3405 | 0.3165 |
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| 0.3129 | 11.0 | 3058 | 0.3313 | 0.3065 |
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| 0.2971 | 12.0 | 3336 | 0.3355 | 0.3031 |
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### Framework versions
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model.safetensors
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