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---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_antonio
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_antonio
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: 0.2766
## 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_steps: 500
- training_steps: 10000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-------:|:-----:|:---------------:|
| 0.3944 | 8.9787 | 1000 | 0.3490 |
| 0.354 | 17.9574 | 2000 | 0.3180 |
| 0.3328 | 26.9360 | 3000 | 0.3005 |
| 0.3204 | 35.9147 | 4000 | 0.2934 |
| 0.3077 | 44.8934 | 5000 | 0.2876 |
| 0.3031 | 53.8721 | 6000 | 0.2828 |
| 0.3048 | 62.8507 | 7000 | 0.2812 |
| 0.2992 | 71.8294 | 8000 | 0.2794 |
| 0.3005 | 80.8081 | 9000 | 0.2772 |
| 0.3001 | 89.7868 | 10000 | 0.2766 |
### Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.19.1
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