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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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- 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: speecht5_finetuned_voxpopuli_nl |
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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_finetuned_voxpopuli_nl |
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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: 0.4919 |
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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: 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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| 0.7222 | 1.62 | 100 | 0.6410 | |
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| 0.6791 | 3.25 | 200 | 0.6024 | |
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| 0.6059 | 4.87 | 300 | 0.5363 | |
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| 0.564 | 6.49 | 400 | 0.5185 | |
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| 0.5481 | 8.11 | 500 | 0.5092 | |
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| 0.5463 | 9.74 | 600 | 0.4998 | |
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| 0.537 | 11.36 | 700 | 0.4968 | |
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| 0.5312 | 12.98 | 800 | 0.4913 | |
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| 0.5275 | 14.6 | 900 | 0.4917 | |
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| 0.5202 | 16.23 | 1000 | 0.4919 | |
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### Framework versions |
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- Transformers 4.32.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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