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--- |
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language: |
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- ckb |
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license: mit |
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tags: |
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- hf-tts-leaderboard |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_11_0 |
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model-index: |
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- name: SpeechT5 tts ckb7- Saber Molaei |
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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 tts ckb7- Saber Molaei |
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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 11.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5043 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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: 7000 |
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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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| 0.6297 | 2.93 | 1000 | 0.5741 | |
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| 0.5784 | 5.85 | 2000 | 0.5376 | |
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| 0.5576 | 8.78 | 3000 | 0.5230 | |
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| 0.5563 | 11.7 | 4000 | 0.5120 | |
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| 0.5257 | 14.63 | 5000 | 0.5070 | |
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| 0.5375 | 17.56 | 6000 | 0.5028 | |
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| 0.5365 | 20.48 | 7000 | 0.5043 | |
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### Framework versions |
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- Transformers 4.30.0.dev0 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
