---
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: result
  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. -->

# result

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4306

## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 4.3611        | 1.6949  | 100  | 0.4645          |
| 3.9124        | 3.3898  | 200  | 0.4499          |
| 3.7546        | 5.0847  | 300  | 0.4453          |
| 3.6216        | 6.7797  | 400  | 0.4333          |
| 3.5083        | 8.4746  | 500  | 0.4299          |
| 3.5245        | 10.1695 | 600  | 0.4295          |
| 3.4645        | 11.8644 | 700  | 0.4191          |
| 3.3739        | 13.5593 | 800  | 0.4218          |
| 3.3132        | 15.2542 | 900  | 0.4316          |
| 3.3192        | 16.9492 | 1000 | 0.4306          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0