metadata

license: mit
base_model: microsoft/speecht5_tts
tags:
  - generated_from_trainer
model-index:
  - name: speecht5_finetuned_swahili
    results: []
pipeline_tag: text-to-speech

speecht5_finetuned_swahili

This model is a fine-tuned version of microsoft/speecht5_tts on the A kiswahili Dataset for Development of Text-To-Speech System dataset. It achieves the following results on the evaluation set:

eval_loss: 0.4618
eval_runtime: 11.2006
eval_samples_per_second: 54.015
eval_steps_per_second: 27.052
epoch: 11.76
step: 2000

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: 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: 500
training_steps: 4000

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3