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speecht5_finetuned_librispeech_polish_epo10_batch2_gas5 – AI Model by Dawid511 | AlphaNeural AI
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Dawid511
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speecht5_finetuned_librispeech_polish_epo10_batch2_gas5
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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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speecht5_finetuned_librispeech_polish_epo10_batch2_gas5
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: 0.3722
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: 0.0001
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 5
total_train_batch_size: 10
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
num_epochs: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.2629
1.2749
200
0.4141
2.1473
2.5499
400
0.3946
2.06
3.8248
600
0.3917
1.9595
5.0959
800
0.3812
1.9753
6.3708
1000
0.3773
1.9364
7.6458
1200
0.3752
1.9184
8.9207
1400
0.3722
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
