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---
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language:
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- fl
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license: mit
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base_model: microsoft/speecht5_tts
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tags:
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- Tets only
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- speech
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- ''
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- generated_from_trainer
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- Test only
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datasets:
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- mewu/test
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model-index:
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- name: Mewu custom
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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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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the mewu dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4956
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More information needed
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More information needed
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More information needed
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The following hyperparameters were used during training:
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- learning_rate: 0.001
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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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: 1000
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- mixed_precision_training: Native AMP
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:--------:|:----:|:---------------:|
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| 0.4967 | 66.6667 | 100 | 0.4655 |
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| 0.504 | 133.3333 | 200 | 0.4540 |
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| 0.5434 | 200.0 | 300 | 0.6293 |
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| 1.5883 | 266.6667 | 400 | 1.5112 |
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| 1.5286 | 333.3333 | 500 | 1.5048 |
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| 1.4761 | 400.0 | 600 | 1.5227 |
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| 1.4458 | 466.6667 | 700 | 1.4967 |
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| 1.4453 | 533.3333 | 800 | 1.4935 |
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| 1.4446 | 600.0 | 900 | 1.4960 |
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| 1.4451 | 666.6667 | 1000 | 1.4956 |
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- Transformers 4.40.1
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- Pytorch 2.3.0+cu118
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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