fil_b32_le5_s4000

mikhail-panzo/fil_b32_le5_s4000

fil_b32_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 30, 2024
Updated: May 1, 2024
SHA: 5013402c

Base models

microsoft/speecht5_tts

Model card

From the Hugging Face model README

fil_b32_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: 0.4102

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: 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
0.5539	44.4444	500	0.4850
0.4867	88.8889	1000	0.4439
0.4595	133.3333	1500	0.4245
0.4395	177.7778	2000	0.4155
0.4327	222.2222	2500	0.4121
0.4279	266.6667	3000	0.4127
0.4202	311.1111	3500	0.4098
0.4167	355.5556	4000	0.4102

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 30, 2024
Updated: May 1, 2024