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--- |
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license: mit |
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base_model: microsoft/speecht5_tts |
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tags: |
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- generated_from_trainer |
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datasets: |
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- facebook/voxpopuli |
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tasks: |
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- text-to-speech |
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model-index: |
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- name: speecht5_tts-ft-voxpopuli-it |
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results: |
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- task: |
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name: Text To Speech |
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type: text-to-speech |
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dataset: |
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name: facebook/voxpopuli |
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type: facebook/voxpopuli |
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config: it |
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split: train |
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args: it |
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metrics: |
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- name: N.A. |
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type: N.A. |
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value: N.A. |
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language: |
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- it |
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--- |
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# speecht5_tts-ft-voxpopuli-it |
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the facebook/voxpopuli dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5126 |
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## Model description |
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It uses the speaker embedding model speechbrain/spkrec-xvect-voxceleb |
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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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test_size=0.15 |
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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: 8 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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: 1000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.6118 | 1.94 | 300 | 0.5508 | |
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| 0.5729 | 3.89 | 600 | 0.5204 | |
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| 0.563 | 5.83 | 900 | 0.5126 | |
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### Framework versions |
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- Transformers 4.33.0 |
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- Pytorch 1.12.1+cu116 |
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- Datasets 2.14.4 |
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- Tokenizers 0.12.1 |
