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--- |
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library_name: transformers |
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license: cc-by-nc-4.0 |
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base_model: nguyenvulebinh/wav2vec2-large-vi-vlsp2020 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: wp-v1 |
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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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# wp-v1 |
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This model is a fine-tuned version of [nguyenvulebinh/wav2vec2-large-vi-vlsp2020](https://huggingface.co/nguyenvulebinh/wav2vec2-large-vi-vlsp2020) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.7195 |
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- Wer: 0.9789 |
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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: 8 |
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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: 4 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 32 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 40 |
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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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| 2.7954 | 1.0 | 129 | 2.7902 | 0.9801 | |
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| 2.7317 | 2.0 | 258 | 2.7682 | 0.9888 | |
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| 2.7232 | 3.0 | 387 | 2.8586 | 0.9733 | |
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| 2.699 | 4.0 | 516 | 2.7598 | 0.9756 | |
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| 2.6634 | 5.0 | 645 | 2.7744 | 0.9833 | |
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| 2.666 | 6.0 | 774 | 2.7401 | 0.9746 | |
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| 2.6142 | 7.0 | 903 | 2.7946 | 1.0044 | |
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| 2.6361 | 8.0 | 1032 | 2.7195 | 0.9789 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.7.1+cu118 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.2 |
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