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tts_rodigits – AI Model by AdaCodruta | AlphaNeural AI
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AdaCodruta
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tts_rodigits
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tensorboard
safetensors
speecht5
generated_from_trainer
microsoft/speecht5_tts
finetune
mit
us
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sst_rodigits
This model is a fine-tuned version of
microsoft/speecht5_tts
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3581
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: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
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: 500
training_steps: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.4289
2.8777
1000
0.3812
0.413
5.7554
2000
0.3675
0.3956
8.6331
3000
0.3624
0.3954
11.5108
4000
0.3588
0.3911
14.3885
5000
0.3581
Framework versions
Transformers 4.40.2
Pytorch 2.5.1+cu118
Datasets 3.1.0
Tokenizers 0.19.1