speecht5_finetuned_lj_speech

ezrab/speecht5_finetuned_lj_speech

speecht5_finetuned_lj_speech is a text-to-speech model from ezrab. 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: Oct 10, 2024
Updated: Oct 10, 2024
SHA: 5c08d95d

Base models

microsoft/speecht5_tts

Datasets

keithito/lj_speech

Model card

From the Hugging Face model README

speecht5_finetuned_lj_speech

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

Loss: 0.3772

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
0.4519	1.3569	500	0.4035
0.4307	2.7137	1000	0.3897
0.4243	4.0706	1500	0.3842
0.4154	5.4274	2000	0.3814
0.4158	6.7843	2500	0.3793
0.409	8.1411	3000	0.3783
0.4112	9.4980	3500	0.3774
0.4135	10.8548	4000	0.3772

Framework versions

Transformers 4.45.2
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0

Task: Text-to-Speech
Library: transformers
Type: speecht5
License: mit
Created: Oct 10, 2024
Updated: Oct 10, 2024