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---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- common_voice_16_1
model-index:
- name: speecht5_tts_common_voice_uk
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_tts_common_voice_uk
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_16_1 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4191
## 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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.902 | 1.0 | 146 | 0.7113 |
| 0.7054 | 2.0 | 292 | 0.4888 |
| 0.5368 | 3.0 | 438 | 0.4549 |
| 0.5188 | 4.0 | 584 | 0.4441 |
| 0.5007 | 5.0 | 730 | 0.4526 |
| 0.4836 | 6.0 | 876 | 0.4299 |
| 0.4722 | 7.0 | 1022 | 0.4249 |
| 0.4666 | 8.0 | 1168 | 0.4234 |
| 0.4652 | 9.0 | 1314 | 0.4218 |
| 0.4639 | 10.0 | 1460 | 0.4191 |
### Framework versions
- Transformers 4.37.2
- Pytorch 1.12.1+cu116
- Datasets 2.4.0
- Tokenizers 0.15.2
|