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--- |
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library_name: transformers |
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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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- common_voice_17_0 |
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model-index: |
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- name: speecht5_finetuned_local_language_dataset_bn |
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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_local_language_dataset_bn |
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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_17_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6038 |
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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: 50 |
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- training_steps: 1000 |
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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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| 0.8489 | 0.1675 | 100 | 0.7253 | |
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| 0.7415 | 0.3349 | 200 | 0.6669 | |
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| 0.6951 | 0.5024 | 300 | 0.6351 | |
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| 0.6798 | 0.6699 | 400 | 0.6267 | |
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| 0.6757 | 0.8373 | 500 | 0.6246 | |
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| 0.674 | 1.0048 | 600 | 0.6127 | |
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| 0.6728 | 1.1723 | 700 | 0.6087 | |
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| 0.6599 | 1.3398 | 800 | 0.6061 | |
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| 0.6527 | 1.5072 | 900 | 0.6048 | |
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| 0.6583 | 1.6747 | 1000 | 0.6038 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
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