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speecht5_tts_kin – AI Model by Washere-1 | AlphaNeural AI
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Washere-1
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speecht5_tts_kin
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transformers
tensorboard
safetensors
speecht5
text-to-audio
generated_from_trainer
kin
Washere-1/fine_tune
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
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SpeechT5 TTS kinyarwanda
This model is a fine-tuned version of
microsoft/speecht5_tts
on the fintune dataset. It achieves the following results on the evaluation set:
Loss: 0.3370
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: 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: 6000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.7933
12.3457
1000
0.3538
0.7485
24.6914
2000
0.3403
0.7305
37.0370
3000
0.3354
0.7253
49.3827
4000
0.3351
0.7231
61.7284
5000
0.3358
0.7144
74.0741
6000
0.3370
Framework versions
Transformers 5.0.1.dev0
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.22.2
