---
language:
- en
license: mit
base_model: microsoft/speecht5_tts
tags:
- .
- generated_from_trainer
datasets:
- speecht5_imda_nsc_p1_p3
model-index:
- name: Speech T5 TTS English
  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. -->

# Speech T5 TTS English

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the IMDA National Speech Corpus dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.3551
- eval_runtime: 236.1173
- eval_samples_per_second: 66.962
- eval_steps_per_second: 2.096
- epoch: 5.97
- step: 40002

## 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: 16
- eval_batch_size: 32
- 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
- num_epochs: 10.0
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2