---
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: finetuned_speecht5_50Kdata
  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. -->

# finetuned_speecht5_50Kdata

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: 0.3766

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.5055        | 0.3505 | 500  | 0.4585          |
| 0.4679        | 0.7010 | 1000 | 0.4248          |
| 0.4444        | 1.0515 | 1500 | 0.4140          |
| 0.4356        | 1.4020 | 2000 | 0.4109          |
| 0.434         | 1.7525 | 2500 | 0.4082          |
| 0.428         | 2.1030 | 3000 | 0.4023          |
| 0.423         | 2.4536 | 3500 | 0.4003          |
| 0.4177        | 2.8041 | 4000 | 0.3835          |
| 0.4077        | 3.1546 | 4500 | 0.3766          |
| 0.4096        | 3.5051 | 5000 | 0.3781          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1