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--- |
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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: wav2vec2-base-finetune-vi-v5 |
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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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# wav2vec2-base-finetune-vi-v5 |
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This model is a fine-tuned version of [foxxy-hm/wav2vec2-base-finetune-vi-v5](https://huggingface.co/foxxy-hm/wav2vec2-base-finetune-vi-v5) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2484 |
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- Wer: 0.1527 |
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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: 8 |
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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: 4 |
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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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| 11.2332 | 0.49 | 500 | 3.4000 | 1.0 | |
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| 1.4014 | 0.99 | 1000 | 0.3058 | 0.1825 | |
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| 0.1614 | 1.48 | 1500 | 0.2742 | 0.1646 | |
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| 0.1269 | 1.98 | 2000 | 0.2791 | 0.1628 | |
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| 0.0991 | 2.47 | 2500 | 0.2642 | 0.1589 | |
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| 0.0913 | 2.96 | 3000 | 0.2483 | 0.1555 | |
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| 0.0833 | 3.46 | 3500 | 0.2528 | 0.1535 | |
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| 0.0787 | 3.95 | 4000 | 0.2484 | 0.1527 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.0 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.3 |
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