---
library_name: transformers
license: mit
base_model: sophiayk20/speecht5_tts_voxpopuli_es
tags:
- generated_from_trainer
model-index:
- name: speecht5_base_covost2_en_es
  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_base_covost2_en_es

This model is a fine-tuned version of [sophiayk20/speecht5_tts_voxpopuli_es](https://huggingface.co/sophiayk20/speecht5_tts_voxpopuli_es) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4577

## 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: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.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: 500
- training_steps: 4000

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.526         | 0.8997 | 500  | 0.4934          |
| 0.5125        | 1.7989 | 1000 | 0.4759          |
| 0.5017        | 2.6982 | 1500 | 0.4692          |
| 0.4913        | 3.5974 | 2000 | 0.4632          |
| 0.4917        | 4.4966 | 2500 | 0.4613          |
| 0.4979        | 5.3959 | 3000 | 0.4593          |
| 0.4914        | 6.2951 | 3500 | 0.4588          |
| 0.4902        | 7.1943 | 4000 | 0.4577          |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.0
- Tokenizers 0.21.0