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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_improved_data |
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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_improved_data |
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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: 0.5781 |
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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: 8 |
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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: 64 |
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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: 4000 |
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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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| 0.9442 | 1.5326 | 250 | 0.7612 | |
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| 0.7905 | 3.0651 | 500 | 0.6773 | |
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| 0.7439 | 4.5977 | 750 | 0.6415 | |
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| 0.7208 | 6.1303 | 1000 | 0.6286 | |
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| 0.7108 | 7.6628 | 1250 | 0.6159 | |
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| 0.6941 | 9.1954 | 1500 | 0.6098 | |
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| 0.6869 | 10.7280 | 1750 | 0.5993 | |
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| 0.6572 | 12.2605 | 2000 | 0.5945 | |
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| 0.6671 | 13.7931 | 2250 | 0.5922 | |
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| 0.6566 | 15.3257 | 2500 | 0.5882 | |
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| 0.6551 | 16.8582 | 2750 | 0.5880 | |
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| 0.6564 | 18.3908 | 3000 | 0.5852 | |
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| 0.6458 | 19.9234 | 3250 | 0.5793 | |
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| 0.6457 | 21.4559 | 3500 | 0.5815 | |
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| 0.6473 | 22.9885 | 3750 | 0.5834 | |
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| 0.6532 | 24.5211 | 4000 | 0.5781 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.17.0 |
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- Tokenizers 0.19.1 |
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