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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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