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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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datasets: |
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- common_voice_13_0 |
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model-index: |
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- name: speecht5_finetuned_mozilla_foundation_common_voice_13_german |
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results: [] |
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pipeline_tag: text-to-speech |
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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_finetuned_mozilla_foundation_common_voice_13_german |
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co./microsoft/speecht5_tts) on the common_voice_13_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4527 |
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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: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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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: 100 |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.5165 | 1.0 | 2193 | 0.4883 | |
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| 0.5125 | 2.0 | 4387 | 0.4789 | |
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| 0.4985 | 3.0 | 6580 | 0.4727 | |
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| 0.4963 | 4.0 | 8774 | 0.4701 | |
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| 0.4901 | 5.0 | 10967 | 0.4656 | |
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| 0.4814 | 6.0 | 13161 | 0.4611 | |
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| 0.4822 | 7.0 | 15354 | 0.4588 | |
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| 0.48 | 8.0 | 17548 | 0.4607 | |
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| 0.4676 | 9.0 | 19741 | 0.4564 | |
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| 0.4665 | 10.0 | 21935 | 0.4558 | |
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| 0.4652 | 11.0 | 24128 | 0.4549 | |
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| 0.4615 | 12.0 | 26322 | 0.4536 | |
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| 0.4716 | 13.0 | 28515 | 0.4541 | |
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| 0.462 | 14.0 | 30709 | 0.4526 | |
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| 0.4666 | 15.0 | 32902 | 0.4521 | |
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| 0.4591 | 16.0 | 35096 | 0.4532 | |
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| 0.4608 | 17.0 | 37289 | 0.4522 | |
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| 0.4605 | 18.0 | 39483 | 0.4513 | |
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| 0.4588 | 19.0 | 41676 | 0.4530 | |
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| 0.4561 | 20.0 | 43860 | 0.4527 | |
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### Framework versions |
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- Transformers 4.30.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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