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--- |
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library_name: transformers |
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language: |
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- en |
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license: mit |
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base_model: microsoft/speecht5_tts |
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tags: |
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- English |
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- generated_from_trainer |
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datasets: |
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- Yassmen/TTS_English_Technical_data |
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model-index: |
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- name: SpeechT5-fine-tune-en |
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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-fine-tune-en |
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the TTS_English_Technical_data dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4473 |
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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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- training_steps: 1000 |
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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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| 4.6694 | 0.3583 | 100 | 0.5087 | |
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| 4.3795 | 0.7165 | 200 | 0.4933 | |
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| 4.1725 | 1.0748 | 300 | 0.4727 | |
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| 4.061 | 1.4330 | 400 | 0.4695 | |
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| 3.9896 | 1.7913 | 500 | 0.4633 | |
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| 3.941 | 2.1496 | 600 | 0.4580 | |
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| 3.8944 | 2.5078 | 700 | 0.4538 | |
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| 3.8968 | 2.8661 | 800 | 0.4522 | |
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| 3.79 | 3.2244 | 900 | 0.4499 | |
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| 3.8059 | 3.5826 | 1000 | 0.4473 | |
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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 3.0.2 |
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- Tokenizers 0.20.1 |
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