zlm_b128_le3_s4000

mikhail-panzo/zlm_b128_le3_s4000

zlm_b128_le3_s4000 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. --

Downloads · 30 days

10% of all-time downloads

All-time downloads

Public

Parameters

144M

4.6 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors578 MB · 100%

At a glance

Task: Text-to-Audio
Library: transformers
License: mit
Model type: speecht5
Access: Public
Created: Apr 27, 2024
Updated: Apr 28, 2024
SHA: c31f5eeb

Base models

microsoft/speecht5_tts

Model card

From the Hugging Face model README

zlm_b128

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: 2.7907

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: 0.001
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2000
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4638	0.8377	500	0.4116
0.4543	1.6754	1000	0.3974
2.8163	2.5131	1500	2.8015
2.8164	3.3508	2000	2.7967
2.8045	4.1885	2500	2.7965
2.8146	5.0262	3000	2.7904
2.8105	5.8639	3500	2.7910
2.8075	6.7016	4000	2.7907

Framework versions

Transformers 4.41.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Task: Text-to-Audio
Library: transformers
Type: speecht5
License: mit
Created: Apr 27, 2024
Updated: Apr 28, 2024