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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: finetuned_speecht5_50Kdata |
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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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# finetuned_speecht5_50Kdata |
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3766 |
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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: 3e-05 |
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- train_batch_size: 16 |
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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: 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: 5000 |
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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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| 0.5055 | 0.3505 | 500 | 0.4585 | |
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| 0.4679 | 0.7010 | 1000 | 0.4248 | |
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| 0.4444 | 1.0515 | 1500 | 0.4140 | |
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| 0.4356 | 1.4020 | 2000 | 0.4109 | |
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| 0.434 | 1.7525 | 2500 | 0.4082 | |
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| 0.428 | 2.1030 | 3000 | 0.4023 | |
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| 0.423 | 2.4536 | 3500 | 0.4003 | |
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| 0.4177 | 2.8041 | 4000 | 0.3835 | |
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| 0.4077 | 3.1546 | 4500 | 0.3766 | |
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| 0.4096 | 3.5051 | 5000 | 0.3781 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.5.0+cu121 |
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- Datasets 3.0.2 |
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- Tokenizers 0.19.1 |
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