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speecht5_finetuned_voxpopuli_hr – AI Model by mihael974 | AlphaNeural AI
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mihael974
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speecht5_finetuned_voxpopuli_hr
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transformers
tensorboard
safetensors
speecht5
text-to-audio
generated_from_trainer
voxpopuli
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
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speecht5_finetuned_voxpopuli_hr
This model is a fine-tuned version of
microsoft/speecht5_tts
on the voxpopuli dataset. It achieves the following results on the evaluation set:
Loss: 1.2562
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: 0.001
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.2343
25.64
1000
1.2588
1.2336
51.28
2000
1.2571
1.2338
76.92
3000
1.2542
1.2241
102.56
4000
1.2562
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
