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--- |
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license: cc-by-nc-4.0 |
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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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base_model: nguyenvulebinh/wav2vec2-base-vietnamese-250h |
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model-index: |
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- name: result_weight |
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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_11_0 |
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type: common_voice_11_0 |
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config: vi |
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split: None |
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args: vi |
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metrics: |
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- type: wer |
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value: 0.7862032648762507 |
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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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# result_weight |
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This model is a fine-tuned version of [nguyenvulebinh/wav2vec2-base-vietnamese-250h](https://huggingface.co/nguyenvulebinh/wav2vec2-base-vietnamese-250h) on the common_voice_11_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6430 |
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- Wer: 0.7862 |
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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: 0.0001 |
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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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- 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: 1000 |
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- num_epochs: 40 |
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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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| 19.1789 | 6.3291 | 500 | 5.0724 | 1.0 | |
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| 4.4582 | 12.6582 | 1000 | 3.4558 | 0.9989 | |
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| 3.8596 | 18.9873 | 1500 | 3.1687 | 0.9905 | |
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| 2.8095 | 25.3165 | 2000 | 2.2626 | 0.9084 | |
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| 2.0404 | 31.6456 | 2500 | 1.8938 | 0.8220 | |
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| 1.6879 | 37.9747 | 3000 | 1.6430 | 0.7862 | |
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### Framework versions |
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- Transformers 4.40.0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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