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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: ESP_Model |
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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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# ESP_Model |
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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: 0.4896 |
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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: 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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- lr_scheduler_warmup_steps: 100 |
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- training_steps: 1500 |
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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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| 0.5777 | 11.1111 | 100 | 0.5336 | |
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| 0.5385 | 22.2222 | 200 | 0.5073 | |
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| 0.5054 | 33.3333 | 300 | 0.5005 | |
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| 0.4953 | 44.4444 | 400 | 0.4983 | |
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| 0.4714 | 55.5556 | 500 | 0.4939 | |
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| 0.4662 | 66.6667 | 600 | 0.4946 | |
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| 0.4563 | 77.7778 | 700 | 0.4981 | |
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| 0.4451 | 88.8889 | 800 | 0.4921 | |
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| 0.4412 | 100.0 | 900 | 0.4946 | |
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| 0.4384 | 111.1111 | 1000 | 0.4868 | |
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| 0.4308 | 122.2222 | 1100 | 0.4946 | |
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| 0.4226 | 133.3333 | 1200 | 0.4924 | |
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| 0.4186 | 144.4444 | 1300 | 0.4936 | |
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| 0.4205 | 155.5556 | 1400 | 0.4891 | |
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| 0.418 | 166.6667 | 1500 | 0.4896 | |
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### Framework versions |
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- Transformers 4.46.0.dev0 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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