ceb_b64_le4_s4000

mikhail-panzo/ceb_b64_le4_s4000

ceb_b64_le4_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. --

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At a glance

Task: Text-to-Audio
Library: transformers
License: mit
Model type: speecht5
Access: Public
Created: May 2, 2024
Updated: May 3, 2024
SHA: 47bb4656

Base models

microsoft/speecht5_tts

Model card

From the Hugging Face model README

ceb_b64_le4_s4000

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: 0.3942

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: 0.0001
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
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
0.4561	19.8020	500	0.4151
0.4179	39.6040	1000	0.3994
0.4075	59.4059	1500	0.4018
0.3981	79.2079	2000	0.4029
0.384	99.0099	2500	0.3953
0.3688	118.8119	3000	0.3964
0.3628	138.6139	3500	0.3952
0.3533	158.4158	4000	0.3942

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: May 2, 2024
Updated: May 3, 2024