speecht5_finetuned_anger_emotion

dhanush23/speecht5_finetuned_anger_emotion

speecht5_finetuned_anger_emotion is a text-to-audio model from dhanush23. 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: Nov 8, 2023
Updated: Nov 10, 2023
SHA: 484e2bd4

Base models

microsoft/speecht5_tts

Model card

From the Hugging Face model README

speecht5_finetuned_anger_emotion

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: 0.3794

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: 2
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: 50
training_steps: 3000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4282	7.25	500	0.3814
0.4173	14.49	1000	0.3787
0.4111	21.74	1500	0.3783
0.4011	28.99	2000	0.3782
0.416	36.23	2500	0.3789
0.4126	43.48	3000	0.3794

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

Task: Text-to-Audio
Library: transformers
Type: speecht5
License: mit
Created: Nov 8, 2023
Updated: Nov 10, 2023