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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_finetuned_antonio
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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_antonio
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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: 0.2766
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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: 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: 500
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- training_steps: 10000
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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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| 0.3944 | 8.9787 | 1000 | 0.3490 |
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| 0.354 | 17.9574 | 2000 | 0.3180 |
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| 0.3328 | 26.9360 | 3000 | 0.3005 |
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| 0.3204 | 35.9147 | 4000 | 0.2934 |
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| 0.3077 | 44.8934 | 5000 | 0.2876 |
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| 0.3031 | 53.8721 | 6000 | 0.2828 |
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| 0.3048 | 62.8507 | 7000 | 0.2812 |
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| 0.2992 | 71.8294 | 8000 | 0.2794 |
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| 0.3005 | 80.8081 | 9000 | 0.2772 |
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| 0.3001 | 89.7868 | 10000 | 0.2766 |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.2.1
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- Datasets 2.18.0
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- Tokenizers 0.19.1
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