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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: speecht5_finetuned_metalsongs |
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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_metalsongs |
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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: 0.4426 |
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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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- training_steps: 1000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.5213 | 34.78 | 100 | 0.5506 | |
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| 0.436 | 69.57 | 200 | 0.4810 | |
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| 0.4004 | 104.35 | 300 | 0.4776 | |
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| 0.3816 | 139.13 | 400 | 0.4639 | |
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| 0.3644 | 173.91 | 500 | 0.4536 | |
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| 0.3583 | 208.7 | 600 | 0.4539 | |
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| 0.3515 | 243.48 | 700 | 0.4476 | |
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| 0.3534 | 278.26 | 800 | 0.4489 | |
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| 0.3471 | 313.04 | 900 | 0.4466 | |
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| 0.3463 | 347.83 | 1000 | 0.4426 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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