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

# ESP_TWICE_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: 0.4606

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 1500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 0.5685        | 5.1613  | 100  | 0.5270          |
| 0.5244        | 10.3226 | 200  | 0.4922          |
| 0.5034        | 15.4839 | 300  | 0.4847          |
| 0.4875        | 20.6452 | 400  | 0.4703          |
| 0.4759        | 25.8065 | 500  | 0.4669          |
| 0.4718        | 30.9677 | 600  | 0.4664          |
| 0.4604        | 36.1290 | 700  | 0.4609          |
| 0.4526        | 41.2903 | 800  | 0.4637          |
| 0.4525        | 46.4516 | 900  | 0.4602          |
| 0.4452        | 51.6129 | 1000 | 0.4608          |
| 0.448         | 56.7742 | 1100 | 0.4622          |
| 0.4373        | 61.9355 | 1200 | 0.4580          |
| 0.4326        | 67.0968 | 1300 | 0.4580          |
| 0.4335        | 72.2581 | 1400 | 0.4594          |
| 0.4328        | 77.4194 | 1500 | 0.4606          |


### Framework versions

- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0