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pidgin_speecht5_tts_google_waxal – AI Model by olawale-ahmed | AlphaNeural AI
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pidgin_speecht5_tts_google_waxal
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transformers
tensorboard
safetensors
speecht5
text-to-audio
Naija Pidgin TTS
generated_from_trainer
pcm
google/WaxalNLP
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
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SpeechT5 Waxal TTS Pidgin
This model is a fine-tuned version of
microsoft/speecht5_tts
on the google/WaxalNLP dataset. It achieves the following results on the evaluation set:
Loss: 0.4261
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 3000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.9760
13.8889
1000
0.4434
0.9209
27.7778
2000
0.4302
0.9257
41.6667
3000
0.4261
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
