---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: speecht5_allvoices_semcommon
  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_allvoices_semcommon

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: 0.3819

## 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-06
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.5047        | 1.48  | 1000  | 0.4460          |
| 0.4601        | 2.96  | 2000  | 0.4096          |
| 0.4471        | 4.44  | 3000  | 0.3987          |
| 0.4384        | 5.92  | 4000  | 0.3911          |
| 0.4314        | 7.4   | 5000  | 0.3909          |
| 0.4285        | 8.88  | 6000  | 0.3861          |
| 0.427         | 10.36 | 7000  | 0.3842          |
| 0.4307        | 11.84 | 8000  | 0.3839          |
| 0.4244        | 13.32 | 9000  | 0.3829          |
| 0.4228        | 14.8  | 10000 | 0.3819          |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2