speecht5_finetuned_voxpopuli_fr

PhysHunter/speecht5_finetuned_voxpopuli_fr

speecht5_finetuned_voxpopuli_fr is a text-to-speech model from PhysHunter. Use it when you need text read aloud. 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-Speech
Library: transformers
License: mit
Model type: speecht5
Access: Public
Created: Aug 18, 2023
Updated: Aug 21, 2023
SHA: d7da771f

Base models

microsoft/speecht5_tts

Datasets

facebook/voxpopuli

Model card

From the Hugging Face model README

speecht5_finetuned_voxpopuli_fr

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

Loss: 0.5054

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: 50
training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
0.6907	2.01	50	0.6140
0.6341	4.02	100	0.5730
0.5993	6.04	150	0.5417
0.5707	9.0	200	0.5216
0.5551	11.02	250	0.5130
0.5589	13.03	300	0.5110
0.5447	15.04	350	0.5075
0.5463	18.01	400	0.5073
0.5381	20.02	450	0.5057
0.5409	22.03	500	0.5054

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

Task: Text-to-Speech
Library: transformers
Type: speecht5
License: mit
Created: Aug 18, 2023
Updated: Aug 21, 2023