speecht5_finetuned_common_voice_pt

pedropauletti/speecht5_finetuned_common_voice_pt

speecht5_finetuned_common_voice_pt is a text-to-audio model from pedropauletti. 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: Oct 2, 2023
Updated: Oct 2, 2023
SHA: 312ef50b

Datasets

common_voice_11_0

Model card

From the Hugging Face model README

speecht5_finetuned_common_voice_pt

This model is a fine-tuned version of pedropauletti/speecht5_finetuned_common_voice_pt on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.4610

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: 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

Training results

Training Loss	Epoch	Step	Validation Loss
0.4962	6.58	1000	0.4737
0.4823	13.16	2000	0.4651
0.4824	19.74	3000	0.4612
0.4845	26.32	4000	0.4610

Framework versions

Transformers 4.33.3
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Task: Text-to-Audio
Library: transformers
Type: speecht5
License: mit
Created: Oct 2, 2023
Updated: Oct 2, 2023