speecht5_finetuned_voxpopuli_nl2

Talha185/speecht5_finetuned_voxpopuli_nl2

speecht5_finetuned_voxpopuli_nl2 is a text-to-audio model from Talha185. 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. --

Downloads · 30 days

1% of all-time downloads

All-time downloads

208

Public

Parameters

144M

7.5 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors578 MB · 100%

At a glance

Task: Text-to-Audio
Library: transformers
License: mit
Model type: speecht5
Access: Public
Created: May 15, 2024
Updated: May 18, 2024
SHA: 506770ef

Base models

microsoft/speecht5_tts

Datasets

common_voice_13_0

Model card

From the Hugging Face model README

speecht5_finetuned_voxpopuli_nl2

This model is a fine-tuned version of microsoft/speecht5_tts on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.4723

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: 0.0001
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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5424	4.3057	500	0.4988
0.5093	8.6114	1000	0.4795
0.4886	12.9171	1500	0.4686
0.4656	17.2228	2000	0.4723

Framework versions

Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Task: Text-to-Audio
Library: transformers
Type: speecht5
License: mit
Created: May 15, 2024
Updated: May 18, 2024