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uz_2301_5_tts – AI Model by Beehzod | AlphaNeural AI
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uz_2301_5_tts
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transformers
tensorboard
safetensors
speecht5
text-to-audio
generated_from_trainer
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
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uz_2301_5_tts
This model is a fine-tuned version of
microsoft/speecht5_tts
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.2276
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: 0.0005
train_batch_size: 64
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 500
training_steps: 3000
Training results
Training Loss
Epoch
Step
Validation Loss
0.7659
20.0
500
0.7017
1.2697
40.0
1000
1.2323
1.2248
60.0
1500
1.2238
1.2141
80.0
2000
1.2275
1.2081
100.0
2500
1.2308
1.2068
120.0
3000
1.2276
Framework versions
Transformers 4.48.3
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
