speecht5_finetuned_voxpopuli_nl

Rajeshwari-SS/speecht5_finetuned_voxpopuli_nl

speecht5_finetuned_voxpopuli_nl is a machine learning model from Rajeshwari-SS. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

License: mit
Model type: speecht5
Access: Public
Created: Aug 19, 2024
Updated: Aug 19, 2024
SHA: dca59c63

Base models

microsoft/speecht5_tts

Datasets

voxpopuli

Model card

From the Hugging Face model README

speecht5_finetuned_voxpopuli_nl

This model is a fine-tuned version of microsoft/speecht5_tts on the voxpopuli dataset. It achieves the following results on the evaluation set:

Loss: 0.4717

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: 2000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5188	4.3034	1000	0.4809
0.5004	8.6068	2000	0.4717

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1

Type: speecht5
License: mit
Created: Aug 19, 2024
Updated: Aug 19, 2024