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--- |
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library_name: transformers |
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language: |
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- bn |
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license: mit |
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base_model: microsoft/speecht5_tts |
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tags: |
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- Bengali |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_17_0 |
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model-index: |
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- name: SpeechT5-tuned-bn |
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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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# SpeechT5-tuned-bn |
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_17_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5377 |
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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: 4 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_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_steps: 100 |
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- num_epochs: 3.0 |
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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 | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 5.7797 | 0.3223 | 100 | 0.6389 | |
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| 5.1742 | 0.6446 | 200 | 0.6102 | |
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| 5.0778 | 0.9670 | 300 | 0.5809 | |
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| 4.8692 | 1.2893 | 400 | 0.5689 | |
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| 4.7836 | 1.6116 | 500 | 0.5564 | |
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| 4.7205 | 1.9339 | 600 | 0.5468 | |
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| 4.6693 | 2.2562 | 700 | 0.5439 | |
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| 4.59 | 2.5786 | 800 | 0.5423 | |
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| 4.5718 | 2.9009 | 900 | 0.5377 | |
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### Framework versions |
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- Transformers 4.46.0.dev0 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
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