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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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- text-to-speech |
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datasets: |
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- facebook/voxpopuli |
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model-index: |
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- name: michaelsh/speecht5_finetuned_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: en-US |
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split: train |
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args: it |
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metrics: |
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- name: MSE |
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type: mse |
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value: 0.4934 |
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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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# michaelsh/speecht5_finetuned_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: 0.4934 |
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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: 500 |
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- training_steps: 8000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.5493 | 10.24 | 1000 | 0.5049 | |
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| 0.52 | 20.49 | 2000 | 0.4968 | |
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| 0.5082 | 30.73 | 3000 | 0.4883 | |
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| 0.5006 | 40.97 | 4000 | 0.4914 | |
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| 0.4954 | 51.22 | 5000 | 0.4910 | |
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| 0.4884 | 61.46 | 6000 | 0.4953 | |
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| 0.4845 | 71.7 | 7000 | 0.4939 | |
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| 0.4916 | 81.95 | 8000 | 0.4934 | |
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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 2.1.0 |
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- Tokenizers 0.13.3 |
