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--- |
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language: |
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- zh-HK |
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license: apache-2.0 |
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tags: |
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- automatic-speech-recognition |
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- mozilla-foundation/common_voice_8_0 |
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- generated_from_trainer |
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- zh-HK |
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- robust-speech-event |
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datasets: |
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- common_voice |
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model-index: |
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- name: '' |
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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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should probably proofread and complete it, then remove this comment. --> |
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# |
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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 MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - ZH-HK dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.6726 |
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- Wer: 0.9815 |
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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: 0.0003 |
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- train_batch_size: 32 |
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- eval_batch_size: 16 |
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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: 500 |
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- num_epochs: 10.0 |
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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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| No log | 1.0 | 183 | 47.8442 | 1.0 | |
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| No log | 2.0 | 366 | 6.3109 | 1.0 | |
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| 41.8902 | 3.0 | 549 | 6.2392 | 1.0 | |
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| 41.8902 | 4.0 | 732 | 5.9739 | 1.1123 | |
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| 41.8902 | 5.0 | 915 | 4.9014 | 1.9474 | |
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| 5.5817 | 6.0 | 1098 | 3.9892 | 1.0188 | |
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| 5.5817 | 7.0 | 1281 | 3.5080 | 1.0104 | |
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| 5.5817 | 8.0 | 1464 | 3.0797 | 0.9905 | |
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| 3.5579 | 9.0 | 1647 | 2.8111 | 0.9836 | |
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| 3.5579 | 10.0 | 1830 | 2.6726 | 0.9815 | |
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### Framework versions |
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- Transformers 4.17.0.dev0 |
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- Pytorch 1.10.2+cu102 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.0 |
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