Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
speecht5_finetuned_mycommonvoice_en – AI Model by NMeyer42 | AlphaNeural AI
You can deploy this model and start earning money today!
NMeyer42
/
speecht5_finetuned_mycommonvoice_en
like
0
transformers
tensorboard
safetensors
speecht5
text-to-audio
generated_from_trainer
NMeyer42/speecht5_finetuned_mycommonvoice_en
finetune
mit
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
speecht5_finetuned_mycommonvoice_en
This model is a fine-tuned version of
NMeyer42/speecht5_finetuned_mycommonvoice_en
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5439
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: 5e-06
train_batch_size: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Use OptimizerNames.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: 500
training_steps: 4000
Training results
Training Loss
Epoch
Step
Validation Loss
0.2424
1000.0
1000
0.5431
0.2334
2000.0
2000
0.5279
0.2258
3000.0
3000
0.5227
0.2267
4000.0
4000
0.5439
Framework versions
Transformers 4.52.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
