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--- |
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language: |
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- pt |
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license: mit |
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base_model: microsoft/speecht5_tts |
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tags: |
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- text-to-speech |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_13_0 |
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model-index: |
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- name: speecht5_pt_full |
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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_pt_full |
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the mozilla-foundation/common_voice_13_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5021 |
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> *DISCLAIMER*: This model is trained for the sole purpose of finishing the HuggingFace [Audio course](https://huggingface.co/learn/audio-course/chapter0/introduction). It doesn't have any usability and outputs pure noise. If you have an idea of how to improve the model, feel free to create a post in the Community tab of this model. Thank you! |
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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: 1e-05 |
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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: 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: 300 |
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- training_steps: 2000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.8882 | 0.18 | 100 | 0.7494 | |
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| 0.7726 | 0.36 | 200 | 0.6657 | |
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| 0.642 | 0.54 | 300 | 0.5767 | |
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| 0.6042 | 0.71 | 400 | 0.5545 | |
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| 0.5972 | 0.89 | 500 | 0.5342 | |
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| 0.5832 | 1.07 | 600 | 0.5337 | |
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| 0.5851 | 1.25 | 700 | 0.5291 | |
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| 0.5744 | 1.43 | 800 | 0.5245 | |
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| 0.5638 | 1.61 | 900 | 0.5186 | |
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| 0.5562 | 1.78 | 1000 | 0.5174 | |
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| 0.56 | 1.96 | 1100 | 0.5133 | |
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| 0.5446 | 2.14 | 1200 | 0.5113 | |
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| 0.5556 | 2.32 | 1300 | 0.5099 | |
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| 0.5457 | 2.5 | 1400 | 0.5071 | |
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| 0.5504 | 2.68 | 1500 | 0.5087 | |
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| 0.5497 | 2.85 | 1600 | 0.5039 | |
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| 0.545 | 3.03 | 1700 | 0.5034 | |
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| 0.5503 | 3.21 | 1800 | 0.5051 | |
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| 0.5621 | 3.39 | 1900 | 0.5040 | |
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| 0.5347 | 3.57 | 2000 | 0.5021 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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