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---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: speecht5_improved_data
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_improved_data
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5781
## 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: 8
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 0.9442 | 1.5326 | 250 | 0.7612 |
| 0.7905 | 3.0651 | 500 | 0.6773 |
| 0.7439 | 4.5977 | 750 | 0.6415 |
| 0.7208 | 6.1303 | 1000 | 0.6286 |
| 0.7108 | 7.6628 | 1250 | 0.6159 |
| 0.6941 | 9.1954 | 1500 | 0.6098 |
| 0.6869 | 10.7280 | 1750 | 0.5993 |
| 0.6572 | 12.2605 | 2000 | 0.5945 |
| 0.6671 | 13.7931 | 2250 | 0.5922 |
| 0.6566 | 15.3257 | 2500 | 0.5882 |
| 0.6551 | 16.8582 | 2750 | 0.5880 |
| 0.6564 | 18.3908 | 3000 | 0.5852 |
| 0.6458 | 19.9234 | 3250 | 0.5793 |
| 0.6457 | 21.4559 | 3500 | 0.5815 |
| 0.6473 | 22.9885 | 3750 | 0.5834 |
| 0.6532 | 24.5211 | 4000 | 0.5781 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.17.0
- Tokenizers 0.19.1
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