zlm_b64_le5_s4000

mikhail-panzo/zlm_b64_le5_s4000

zlm_b64_le5_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: Apr 28, 2024
Updated: Apr 28, 2024
SHA: f2ba687f

Base models

microsoft/speecht5_tts

Model card

From the Hugging Face model README

zlm_b64_le5_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: 0.4036

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: 32
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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: 4010
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.7085	0.4188	500	0.6076
0.5896	0.8375	1000	0.5031
0.5195	1.2563	1500	0.4606
0.5009	1.6750	2000	0.4391
0.4854	2.0938	2500	0.4273
0.4643	2.5126	3000	0.4128
0.4572	2.9313	3500	0.4065
0.4508	3.3501	4000	0.4036

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 28, 2024
Updated: Apr 28, 2024