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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: sst_rodigits
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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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# sst_rodigits
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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: 0.3581
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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: 5000
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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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| 0.4289 | 2.8777 | 1000 | 0.3812 |
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| 0.413 | 5.7554 | 2000 | 0.3675 |
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| 0.3956 | 8.6331 | 3000 | 0.3624 |
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| 0.3954 | 11.5108 | 4000 | 0.3588 |
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| 0.3911 | 14.3885 | 5000 | 0.3581 |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.5.1+cu118
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- Datasets 3.1.0
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- Tokenizers 0.19.1
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