malay_norm_checkpoint

mikhail-panzo/malay_norm_checkpoint

malay_norm_checkpoint is a text-to-audio model from mikhail-panzo. 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: Apr 4, 2024
Updated: Apr 4, 2024
SHA: 83b1c119

Base models

microsoft/speecht5_tts

Model card

From the Hugging Face model README

malay_norm_checkpoint

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

Loss: 0.4922

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: 8000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.8434	6.81	1000	0.7457
0.6769	13.63	2000	0.6074
0.6142	20.44	3000	0.5630
0.5925	27.26	4000	0.5253
0.5579	34.07	5000	0.5163
0.5459	40.89	6000	0.4985
0.5428	47.7	7000	0.4960
0.5443	54.51	8000	0.4922

Framework versions

Transformers 4.40.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Task: Text-to-Audio
Library: transformers
Type: speecht5
License: mit
Created: Apr 4, 2024
Updated: Apr 4, 2024