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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: 0.4479 |
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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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| 5.7875 | 0.1791 | 50 | 0.6062 | |
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| 4.5876 | 0.3583 | 100 | 0.5088 | |
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| 4.4072 | 0.5374 | 150 | 0.4908 | |
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| 4.3177 | 0.7165 | 200 | 0.4883 | |
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| 4.1852 | 0.8957 | 250 | 0.4808 | |
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| 4.1009 | 1.0748 | 300 | 0.4691 | |
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| 4.0833 | 1.2539 | 350 | 0.4677 | |
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| 4.0461 | 1.4330 | 400 | 0.4643 | |
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| 4.0024 | 1.6122 | 450 | 0.4587 | |
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| 3.9729 | 1.7913 | 500 | 0.4593 | |
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| 3.9057 | 1.9704 | 550 | 0.4555 | |
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| 3.8765 | 2.1496 | 600 | 0.4567 | |
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| 3.9148 | 2.3287 | 650 | 0.4541 | |
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| 3.8446 | 2.5078 | 700 | 0.4503 | |
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| 3.8321 | 2.6870 | 750 | 0.4511 | |
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| 3.8683 | 2.8661 | 800 | 0.4479 | |
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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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