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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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datasets:
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- facebook/voxpopuli
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model-index:
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- name: speecht5_finetuned_voxpopuli_pl_10epochs
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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_voxpopuli_pl_10epochs
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the facebook/voxpopuli dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4545
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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_ratio: 0.1
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.6116 | 1.0 | 210 | 0.5300 |
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| 0.5393 | 2.0 | 421 | 0.4871 |
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| 0.5235 | 3.0 | 632 | 0.4736 |
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| 0.5125 | 4.0 | 843 | 0.4653 |
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| 0.5067 | 5.0 | 1053 | 0.4632 |
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| 0.5049 | 6.0 | 1264 | 0.4607 |
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| 0.4993 | 7.0 | 1475 | 0.4579 |
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| 0.4996 | 8.0 | 1686 | 0.4562 |
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| 0.4957 | 9.0 | 1896 | 0.4546 |
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| 0.4971 | 9.96 | 2100 | 0.4547 |
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### Framework versions
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- Transformers 4.29.2
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- Pytorch 2.0.0
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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