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--- |
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base_model: facebook/wav2vec2-base |
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datasets: |
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- common_voice_13_0 |
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license: apache-2.0 |
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metrics: |
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- wer |
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tags: |
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- generated_from_trainer |
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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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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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config: vi |
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split: test[:50%] |
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args: vi |
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metrics: |
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- type: wer |
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value: 1.0 |
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name: Wer |
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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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should probably proofread and complete it, then remove this comment. --> |
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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: 3.4884 |
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- Wer: 1.0 |
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- Cer: 1.0 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 0.1 |
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- num_epochs: 80 |
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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 | Cer | |
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|:-------------:|:-------:|:----:|:---------------:|:---:|:---:| |
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| 9.4752 | 7.1111 | 160 | 4.4992 | 1.0 | 1.0 | |
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| 4.2035 | 14.2222 | 320 | 3.9228 | 1.0 | 1.0 | |
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| 3.7611 | 21.3333 | 480 | 3.6584 | 1.0 | 1.0 | |
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| 3.5825 | 28.4444 | 640 | 3.5584 | 1.0 | 1.0 | |
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| 3.5044 | 35.5556 | 800 | 3.5285 | 1.0 | 1.0 | |
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| 3.4669 | 42.6667 | 960 | 3.5226 | 1.0 | 1.0 | |
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| 3.4382 | 49.7778 | 1120 | 3.5093 | 1.0 | 1.0 | |
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| 3.4183 | 56.8889 | 1280 | 3.4942 | 1.0 | 1.0 | |
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| 3.4002 | 64.0 | 1440 | 3.4957 | 1.0 | 1.0 | |
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| 3.3871 | 71.1111 | 1600 | 3.4896 | 1.0 | 1.0 | |
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| 3.382 | 78.2222 | 1760 | 3.4884 | 1.0 | 1.0 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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