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speecht5_finetuned_voxpopuli_fi – AI Model by thuyentruong | AlphaNeural AI
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speecht5_finetuned_voxpopuli_fi
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transformers
tensorboard
safetensors
speecht5
text-to-audio
generated_from_trainer
text-to-speech
voxpopuli
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
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speecht5_finetuned_voxpopuli_fi
This model is a fine-tuned version of
microsoft/speecht5_tts
on the voxpopuli dataset. It achieves the following results on the evaluation set:
eval_loss: 0.6689
eval_runtime: 253.106
eval_samples_per_second: 0.699
eval_steps_per_second: 0.178
epoch: 0.0404
step: 2
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: 4
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: 1
training_steps: 4
Framework versions
Transformers 4.40.2
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
