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--- |
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tags: |
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- automatic-speech-recognition |
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- phongdtd/VinDataVLSP |
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- generated_from_trainer |
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model-index: |
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- name: wavLM-VLSP-vi |
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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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# wavLM-VLSP-vi |
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This model is a fine-tuned version of [microsoft/wavlm-base-plus](https://huggingface.co/microsoft/wavlm-base-plus) on the PHONGDTD/VINDATAVLSP - NA dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 45.8892 |
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- Wer: 0.9999 |
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- Cer: 0.9973 |
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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: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- total_train_batch_size: 8 |
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- total_eval_batch_size: 16 |
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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: 50.0 |
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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 | Cer | |
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|:-------------:|:-----:|:------:|:---------------:|:------:|:------:| |
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| 3.4482 | 9.41 | 40000 | 3.4480 | 0.9999 | 0.9974 | |
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| 3.4619 | 18.81 | 80000 | 3.4514 | 0.9999 | 0.9974 | |
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| 3.7961 | 28.22 | 120000 | 3.8732 | 0.9999 | 0.9974 | |
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| 24.3843 | 37.62 | 160000 | 22.5457 | 0.9999 | 0.9973 | |
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| 48.5691 | 47.03 | 200000 | 45.8892 | 0.9999 | 0.9973 | |
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### Framework versions |
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- Transformers 4.17.0.dev0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.18.3 |
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- Tokenizers 0.10.3 |
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