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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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model-index: |
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- name: speecht5_finetuned_voice_dataset_bn_v_4 |
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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_voice_dataset_bn_v_4 |
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5560 |
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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: 125 |
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- training_steps: 3000 |
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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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| 0.6302 | 12.1212 | 250 | 0.5979 | |
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| 0.5895 | 24.2424 | 500 | 0.5645 | |
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| 0.5658 | 36.3636 | 750 | 0.5638 | |
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| 0.5495 | 48.4848 | 1000 | 0.5609 | |
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| 0.5541 | 60.6061 | 1250 | 0.5443 | |
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| 0.5431 | 72.7273 | 1500 | 0.5522 | |
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| 0.5321 | 84.8485 | 1750 | 0.5406 | |
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| 0.5321 | 96.9697 | 2000 | 0.5515 | |
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| 0.5267 | 109.0909 | 2250 | 0.5674 | |
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| 0.5334 | 121.2121 | 2500 | 0.5607 | |
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| 0.5202 | 133.3333 | 2750 | 0.5586 | |
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| 0.52 | 145.4545 | 3000 | 0.5560 | |
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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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