metadata

license: mit
base_model: microsoft/speecht5_tts
tags:
  - generated_from_trainer
datasets:
  - voxpopuli
model-index:
  - name: speecht5_finetuned_voxpopuli_fi
    results: []
language:
  - fi
pipeline_tag: text-to-speech

speecht5_finetuned_voxpopuli_fi

This model is a fine-tuned version of microsoft/speecht5_tts on the voxpopuli dataset. It achieves the following results on the evaluation set:

Loss: 0.4581

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: 2000

Training results

Training Loss	Epoch	Step	Validation Loss
0.5025	13.18	1000	0.4663
0.4873	26.36	2000	0.4581

Framework versions

Transformers 4.31.0
Pytorch 2.0.0
Datasets 2.14.3
Tokenizers 0.13.3