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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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datasets: |
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- common_voice_16_1 |
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model-index: |
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- name: speecht5_finetuned_mozilla_id_11k |
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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_finetuned_mozilla_id_11k |
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_16_1 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4813 |
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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: 32 |
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- eval_batch_size: 2 |
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- seed: 42 |
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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: 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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| 0.5681 | 2.9674 | 1000 | 0.5239 | |
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| 0.5329 | 5.9347 | 2000 | 0.4958 | |
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| 0.5173 | 8.9021 | 3000 | 0.4898 | |
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| 0.5089 | 11.8694 | 4000 | 0.4857 | |
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| 0.5023 | 14.8368 | 5000 | 0.4809 | |
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| 0.4998 | 17.8042 | 6000 | 0.4788 | |
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| 0.4983 | 20.7715 | 7000 | 0.4799 | |
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| 0.4992 | 23.7389 | 8000 | 0.4813 | |
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### Framework versions |
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- Transformers 4.40.1 |
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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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