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---
license: mit
tags:
- generated_from_trainer
datasets:
- facebook/voxpopuli
model-index:
- name: speecht5_finetuned_voxpopuli_pl_20epochs
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# speecht5_finetuned_voxpopuli_pl_20epochs
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the facebook/voxpopuli dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4458
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6474 | 1.0 | 210 | 0.5754 |
| 0.558 | 2.0 | 421 | 0.4976 |
| 0.5292 | 3.0 | 632 | 0.4788 |
| 0.5174 | 4.0 | 843 | 0.4693 |
| 0.5063 | 5.0 | 1053 | 0.4639 |
| 0.5053 | 6.0 | 1264 | 0.4599 |
| 0.4968 | 7.0 | 1475 | 0.4570 |
| 0.4913 | 8.0 | 1686 | 0.4549 |
| 0.4895 | 9.0 | 1896 | 0.4532 |
| 0.4876 | 10.0 | 2107 | 0.4520 |
| 0.487 | 11.0 | 2318 | 0.4501 |
| 0.4805 | 12.0 | 2529 | 0.4484 |
| 0.4789 | 13.0 | 2739 | 0.4495 |
| 0.4853 | 14.0 | 2950 | 0.4469 |
| 0.4797 | 15.0 | 3161 | 0.4468 |
| 0.4758 | 16.0 | 3372 | 0.4458 |
| 0.4729 | 17.0 | 3582 | 0.4458 |
| 0.4744 | 18.0 | 3793 | 0.4461 |
| 0.4759 | 19.0 | 4004 | 0.4462 |
| 0.4759 | 19.93 | 4200 | 0.4461 |
### Framework versions
- Transformers 4.29.2
- Pytorch 2.0.0
- Datasets 2.13.1
- Tokenizers 0.13.3
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