End of training
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README.md
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- generated_from_trainer
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datasets:
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- common_voice_13_0
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model-index:
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- name: wav2vec2-large-xls-r-vi-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-xls-r-vi-colab
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the common_voice_13_0 dataset.
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## Model description
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- num_epochs: 30
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.41.2
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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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- wer
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model-index:
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- name: wav2vec2-large-xls-r-vi-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_13_0
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type: common_voice_13_0
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config: vi
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split: test[:25%]
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args: vi
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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-xls-r-vi-colab
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) 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: 3.5646
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- Wer: 1.0
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## Model description
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- num_epochs: 30
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- mixed_precision_training: Native AMP
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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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| 3.4682 | 17.7778 | 400 | 3.5646 | 1.0 |
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### Framework versions
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- Transformers 4.41.2
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model.safetensors
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