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speecht5_finetuned_librispeech_polish_epo10_batch8_gas2 – AI Model by Dawid511 | AlphaNeural AI
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speecht5_finetuned_librispeech_polish_epo10_batch8_gas2
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transformers
tensorboard
safetensors
speecht5
text-to-audio
generated_from_trainer
mit
endpoints_compatible
us
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speecht5_finetuned_librispeech_polish_epo10_batch8_gas2
This model is a fine-tuned version of
dawid511/speecht5_finetuned_librispeech_polish_epo10_batch8_gas3
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3723
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: 8
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 3
total_train_batch_size: 24
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
1.0462
3.0306
200
0.3748
1.022
6.0612
400
0.3756
1.0102
9.0918
600
0.3723
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
