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speecht5_finetuned_librispeech_polish_epo10_batch4_gas2 – AI Model by Dawid511 | AlphaNeural AI
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Dawid511
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speecht5_finetuned_librispeech_polish_epo10_batch4_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_batch4_gas2
This model is a fine-tuned version of
dawid511/speecht5_finetuned_librispeech_polish_epo10_batch2_gas4
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3666
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: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
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: 300
num_epochs: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.7579
1.5320
300
0.3742
0.7303
3.0614
600
0.3737
0.748
4.5934
900
0.3832
0.7232
6.1228
1200
0.3680
0.7221
7.6547
1500
0.3661
0.712
9.1841
1800
0.3666
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
