malay_small_checkpoint

mikhail-panzo/malay_small_checkpoint

malay_small_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.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text-to-Audio
Library: transformers
Model type: speecht5
Access: Public
Created: Apr 3, 2024
Updated: Apr 3, 2024
SHA: 250dcec5

Model card

From the Hugging Face model README

malay_small_checkpoint

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5618

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-06
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
0.6222	6.14	1000	0.5743
0.6214	12.29	2000	0.5689
0.6161	18.43	3000	0.5628
0.6111	24.58	4000	0.5618

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
Created: Apr 3, 2024
Updated: Apr 3, 2024