speecht5_finetuned_voxpopuli_nl

SurendraKumarDhaka/speecht5_finetuned_voxpopuli_nl

speecht5_finetuned_voxpopuli_nl is a text-to-audio model from SurendraKumarDhaka. Use it for the text-to-audio task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text-to-Audio
Library: transformers
License: mit
Model type: speecht5
Access: Public
Created: May 25, 2023
Updated: May 25, 2023
SHA: 503898a6

Datasets

voxpopuli

Model card

From the Hugging Face model README

speecht5_finetuned_voxpopuli_nl

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: 0.4595

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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5235	4.3	1000	0.4795
0.5013	8.61	2000	0.4666
0.4933	12.91	3000	0.4607
0.4857	17.21	4000	0.4595

Framework versions

Transformers 4.30.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Text-to-Audio
Library: transformers
Type: speecht5
License: mit
Created: May 25, 2023
Updated: May 25, 2023