speecht5_tts_commonvoice_en_06

Avitas8485/speecht5_tts_commonvoice_en_06

speecht5_tts_commonvoice_en_06 is a text-to-speech model from Avitas8485. 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: Jul 6, 2023
Updated: Sep 19, 2023
SHA: 61b62ca7

Base models

Avitas8485/speecht5_tts_commonvoice_en_05

Datasets

lj_speech

Model card

From the Hugging Face model README

speecht5_tts_commonvoice_en_06

This model is a fine-tuned version of Avitas8485/speecht5_tts_commonvoice_en_05 on the ljspeech dataset. It achieves the following results on the evaluation set:

Loss: 0.3607

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 8000

Training results

Training Loss	Epoch	Step	Validation Loss
0.4009	1.36	1000	0.3658
0.3939	2.71	2000	0.3648
0.3976	4.07	3000	0.3635
0.3975	5.43	4000	0.3624
0.3878	6.78	5000	0.3613
0.3956	8.14	6000	0.3612
0.3947	9.5	7000	0.3608
0.3854	10.85	8000	0.3607

Framework versions

Transformers 4.31.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

Task: Text-to-Speech
Library: transformers
Type: speecht5
License: mit
Languages: en
Created: Jul 6, 2023
Updated: Sep 19, 2023