Model save
Browse files- README.md +101 -0
- model.safetensors +1 -1
README.md
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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: iou-chapter-audio-dataset-force-aligned-speecht5
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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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# iou-chapter-audio-dataset-force-aligned-speecht5
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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: 0.4800
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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: 0.0001
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 3407
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 4000
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- training_steps: 40000
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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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| 0.5387 | 5.2918 | 1000 | 0.5152 |
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| 0.493 | 10.5836 | 2000 | 0.4955 |
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| 0.4935 | 15.8753 | 3000 | 0.4885 |
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| 0.4846 | 21.1645 | 4000 | 0.4863 |
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| 0.4717 | 26.4562 | 5000 | 0.4825 |
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| 0.4532 | 31.7480 | 6000 | 0.4804 |
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| 0.4841 | 37.0371 | 7000 | 0.4802 |
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| 0.458 | 42.3289 | 8000 | 0.4791 |
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| 0.4454 | 47.6207 | 9000 | 0.4822 |
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| 0.4461 | 52.9125 | 10000 | 0.4790 |
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| 0.4362 | 58.2016 | 11000 | 0.4789 |
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| 0.4301 | 63.4934 | 12000 | 0.4789 |
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| 0.43 | 68.7851 | 13000 | 0.4806 |
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| 0.4392 | 74.0743 | 14000 | 0.4796 |
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| 0.4355 | 79.3660 | 15000 | 0.4797 |
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| 0.4273 | 84.6578 | 16000 | 0.4778 |
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| 0.4324 | 89.9496 | 17000 | 0.4808 |
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| 0.4239 | 95.2387 | 18000 | 0.4792 |
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| 0.4174 | 100.5305 | 19000 | 0.4786 |
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| 0.4206 | 105.8223 | 20000 | 0.4777 |
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| 0.4104 | 111.1114 | 21000 | 0.4784 |
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| 0.4121 | 116.4032 | 22000 | 0.4797 |
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| 0.4087 | 121.6950 | 23000 | 0.4800 |
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| 0.4115 | 126.9867 | 24000 | 0.4788 |
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| 0.405 | 132.2759 | 25000 | 0.4799 |
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| 0.4091 | 137.5676 | 26000 | 0.4795 |
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| 0.4165 | 142.8594 | 27000 | 0.4799 |
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| 0.4059 | 148.1485 | 28000 | 0.4792 |
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| 0.4092 | 153.4403 | 29000 | 0.4797 |
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| 0.4006 | 158.7321 | 30000 | 0.4791 |
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| 0.4033 | 164.0212 | 31000 | 0.4789 |
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| 0.3929 | 169.3130 | 32000 | 0.4796 |
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| 0.4024 | 174.6048 | 33000 | 0.4803 |
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| 0.3988 | 179.8966 | 34000 | 0.4785 |
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| 0.3965 | 185.1857 | 35000 | 0.4792 |
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| 0.3914 | 190.4775 | 36000 | 0.4795 |
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| 0.3967 | 195.7692 | 37000 | 0.4811 |
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| 0.3994 | 201.0584 | 38000 | 0.4800 |
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| 0.4019 | 206.3501 | 39000 | 0.4805 |
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| 0.4005 | 211.6419 | 40000 | 0.4800 |
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### Framework versions
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- Transformers 4.57.1
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- Pytorch 2.8.0+cu128
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- Datasets 4.2.0
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- Tokenizers 0.22.1
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model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 577847688
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version https://git-lfs.github.com/spec/v1
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oid sha256:6286c26db8a3551740aa9778760072519b99115f3b9e516735ebd973af45a9d0
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size 577847688
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