---
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- tts
- generated_from_trainer
datasets:
- microsoft/speecht5_tts
model-index:
- name: SyedNaqi_TechSpeechT5_TTS
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# SyedNaqi_TechSpeechT5_TTS

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the TTS_English_Technical_data dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4597

## 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: 14
- eval_batch_size: 10
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 28
- 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: 1000
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 1.3331        | 1.5649  | 500  | 0.5719          |
| 1.0675        | 3.1299  | 1000 | 0.4861          |
| 1.0427        | 4.6948  | 1500 | 0.4732          |
| 1.0088        | 6.2598  | 2000 | 0.4667          |
| 1.0052        | 7.8247  | 2500 | 0.4637          |
| 0.9862        | 9.3897  | 3000 | 0.4613          |
| 0.9788        | 10.9546 | 3500 | 0.4597          |
| 0.9792        | 12.5196 | 4000 | 0.4597          |


### Framework versions

- Transformers 4.47.0.dev0
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.20.1