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--- |
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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: malay_dataset_checkpoint |
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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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# malay_dataset_checkpoint |
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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: 0.5938 |
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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: 3 |
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- eval_batch_size: 3 |
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- seed: 42 |
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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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- num_epochs: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.8835 | 0.17 | 500 | 1.1947 | |
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| 1.156 | 0.34 | 1000 | 0.9847 | |
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| 1.0174 | 0.51 | 1500 | 0.8688 | |
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| 0.9117 | 0.68 | 2000 | 0.7840 | |
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| 0.8413 | 0.86 | 2500 | 0.7218 | |
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| 0.8081 | 1.03 | 3000 | 0.7093 | |
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| 0.7662 | 1.2 | 3500 | 0.6677 | |
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| 0.746 | 1.37 | 4000 | 0.6525 | |
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| 0.7318 | 1.54 | 4500 | 0.6492 | |
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| 0.7043 | 1.71 | 5000 | 0.6472 | |
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| 0.7157 | 1.88 | 5500 | 0.6153 | |
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| 0.6821 | 2.05 | 6000 | 0.6070 | |
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| 0.692 | 2.23 | 6500 | 0.6133 | |
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| 0.671 | 2.4 | 7000 | 0.6089 | |
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| 0.6676 | 2.57 | 7500 | 0.6000 | |
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| 0.6769 | 2.74 | 8000 | 0.5956 | |
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| 0.6612 | 2.91 | 8500 | 0.5938 | |
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### Framework versions |
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- Transformers 4.40.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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