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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: base-asr-with-tpbs-cv3 |
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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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# base-asr-with-tpbs-cv3 |
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This model is a fine-tuned version of [Botnoi/base-asr-with-lm](https://huggingface.co/Botnoi/base-asr-with-lm) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5934 |
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- Wer: 0.2629 |
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- Cer: 0.0756 |
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- Clean Cer: 0.0696 |
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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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- 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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- num_epochs: 100 |
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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 | Clean Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:---------:| |
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| 0.1269 | 26.67 | 400 | 0.5346 | 0.2723 | 0.0793 | 0.0726 | |
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| 0.0436 | 53.33 | 800 | 0.5695 | 0.2647 | 0.0767 | 0.0705 | |
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| 0.0287 | 80.0 | 1200 | 0.5934 | 0.2629 | 0.0756 | 0.0696 | |
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### Framework versions |
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- Transformers 4.27.4 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.2 |
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