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--- |
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language: |
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- sk |
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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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datasets: |
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- facebook/voxpopuli |
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model-index: |
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- name: SpeechT5 TTS Slovak v3 |
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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 TTS Slovak v3 |
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the VoxPopuli dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4046 |
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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: 32 |
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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: 64 |
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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: 10000 |
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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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| 0.5259 | 3.2258 | 500 | 0.4625 | |
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| 0.4823 | 6.4516 | 1000 | 0.4345 | |
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| 0.4702 | 9.6774 | 1500 | 0.4258 | |
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| 0.4502 | 12.9032 | 2000 | 0.4189 | |
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| 0.4579 | 16.1290 | 2500 | 0.4173 | |
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| 0.4418 | 19.3548 | 3000 | 0.4134 | |
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| 0.448 | 22.5806 | 3500 | 0.4117 | |
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| 0.4467 | 25.8065 | 4000 | 0.4094 | |
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| 0.4388 | 29.0323 | 4500 | 0.4084 | |
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| 0.4327 | 32.2581 | 5000 | 0.4071 | |
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| 0.4398 | 35.4839 | 5500 | 0.4069 | |
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| 0.4381 | 38.7097 | 6000 | 0.4065 | |
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| 0.4357 | 41.9355 | 6500 | 0.4053 | |
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| 0.4352 | 45.1613 | 7000 | 0.4059 | |
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| 0.4298 | 48.3871 | 7500 | 0.4050 | |
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| 0.4293 | 51.6129 | 8000 | 0.4043 | |
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| 0.4342 | 54.8387 | 8500 | 0.4050 | |
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| 0.4309 | 58.0645 | 9000 | 0.4045 | |
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| 0.4277 | 61.2903 | 9500 | 0.4047 | |
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| 0.4319 | 64.5161 | 10000 | 0.4046 | |
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### Framework versions |
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- Transformers 4.42.0.dev0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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