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---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- common_voice_13_0
model-index:
- name: 01-08-2023_19-25-49
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. -->
# 01-08-2023_19-25-49
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_13_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5452
## 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: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 6000
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5581 | 1.0 | 884 | 0.6011 |
| 0.5129 | 2.0 | 1768 | 0.5674 |
| 0.5038 | 3.0 | 2652 | 0.5604 |
| 0.5068 | 4.0 | 3536 | 0.5502 |
| 0.4936 | 5.0 | 4420 | 0.5465 |
| 0.4871 | 6.0 | 5304 | 0.5426 |
| 0.4855 | 6.79 | 6000 | 0.5452 |
### Framework versions
- Transformers 4.32.0.dev0
- Pytorch 1.10.1+cu113
- Datasets 2.13.1
- Tokenizers 0.13.3
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