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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name:
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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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#
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the
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## Model description
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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 results
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### Framework versions
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---
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language:
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- en
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license: mit
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tags:
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- generated_from_trainer
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datasets:
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- speecht5_finetuned_single_speaker_en_test_librivox
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model-index:
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- name: SpeechT5 Single Speaker test
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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 Single Speaker test
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the single_speaker_en_test_librivox dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3865
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## Model description
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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: 4000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.4198 | 12.44 | 1000 | 0.3884 |
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| 0.4006 | 24.88 | 2000 | 0.3901 |
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| 0.3883 | 37.33 | 3000 | 0.3875 |
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| 0.3878 | 49.77 | 4000 | 0.3865 |
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### Framework versions
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