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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: fil_b64_le4_s8000 |
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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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# fil_b64_le4_s8000 |
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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: 0.4246 |
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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: 32 |
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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: 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: 2000 |
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- training_steps: 8000 |
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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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| 0.4811 | 22.2222 | 500 | 0.4381 | |
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| 0.4495 | 44.4444 | 1000 | 0.4216 | |
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| 0.4293 | 66.6667 | 1500 | 0.4446 | |
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| 0.4246 | 88.8889 | 2000 | 0.4177 | |
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| 0.4094 | 111.1111 | 2500 | 0.4179 | |
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| 0.3944 | 133.3333 | 3000 | 0.4232 | |
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| 0.3794 | 155.5556 | 3500 | 0.4190 | |
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| 0.3768 | 177.7778 | 4000 | 0.4187 | |
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| 0.3743 | 200.0 | 4500 | 0.4276 | |
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| 0.3598 | 222.2222 | 5000 | 0.4232 | |
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| 0.3634 | 244.4444 | 5500 | 0.4203 | |
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| 0.3558 | 266.6667 | 6000 | 0.4219 | |
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| 0.3502 | 288.8889 | 6500 | 0.4230 | |
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| 0.3529 | 311.1111 | 7000 | 0.4268 | |
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| 0.3447 | 333.3333 | 7500 | 0.4254 | |
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| 0.3371 | 355.5556 | 8000 | 0.4246 | |
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### Framework versions |
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- Transformers 4.41.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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