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speecht5_finetuned_voxpopuli_sk – AI Model by CodingQueen13 | AlphaNeural AI
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CodingQueen13
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speecht5_finetuned_voxpopuli_sk
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tensorboard
safetensors
speecht5
generated_from_trainer
text-to-speech
voxpopuli
microsoft/speecht5_tts
finetune
mit
us
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speecht5_finetuned_voxpopuli_nl
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: 0.4361
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: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.4903
10.2828
1000
0.4498
0.4637
20.5656
2000
0.4383
0.4591
30.8483
3000
0.4364
0.4621
41.1311
4000
0.4361
Framework versions
Transformers 4.42.4
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1
