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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: speecht5_female_british_english_speaker_2 |
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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_female_british_english_speaker_2 |
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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: 0.4968 |
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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: 1100 |
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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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| 0.4995 | 7.9208 | 100 | 0.4349 | |
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| 0.421 | 15.8416 | 200 | 0.4270 | |
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| 0.3934 | 23.7624 | 300 | 0.4447 | |
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| 0.3765 | 31.6832 | 400 | 0.4632 | |
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| 0.3665 | 39.6040 | 500 | 0.4657 | |
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| 0.3595 | 47.5248 | 600 | 0.4665 | |
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| 0.3455 | 55.4455 | 700 | 0.4821 | |
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| 0.3405 | 63.3663 | 800 | 0.4851 | |
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| 0.3349 | 71.2871 | 900 | 0.4916 | |
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| 0.3289 | 79.2079 | 1000 | 0.4928 | |
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| 0.329 | 87.1287 | 1100 | 0.4968 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
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