| ---
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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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|
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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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|
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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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|
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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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|
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| ## Training and evaluation data
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| More information needed
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|
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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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| |
