Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
TTS-T5_finetuned – AI Model by shubhamprakash | AlphaNeural AI
You can deploy this model and start earning money today!
shubhamprakash
/
TTS-T5_finetuned
like
0
transformers
tensorboard
safetensors
speecht5
text-to-audio
generated_from_trainer
lj_speech
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
TTS-T5_finetuned
This model is a fine-tuned version of
microsoft/speecht5_tts
on the lj_speech dataset. It achieves the following results on the evaluation set:
Loss: 0.3739
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: 0.0001
train_batch_size: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.4684
0.6029
100
0.4076
0.4326
1.2102
200
0.4005
0.4257
1.8131
300
0.3841
0.416
2.4205
400
0.3785
0.4148
3.0279
500
0.3739
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
