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speecht5_finetuned_librispeech_polish_epo3_batch2_gas4 – AI Model by Dawid511 | AlphaNeural AI
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speecht5_finetuned_librispeech_polish_epo3_batch2_gas4
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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_epo3_batch2_gas4
This model is a fine-tuned version of
dawid511/speecht5_finetuned_librispeech_polish_epo3_batch2_gas2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3694
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: 4
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: 100
training_steps: 700
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.6881
0.5115
100
0.4005
1.6295
1.0205
200
0.3932
1.6458
1.5320
300
0.3826
1.5841
2.0409
400
0.3786
1.5994
2.5524
500
0.3770
1.5545
3.0614
600
0.3718
1.5633
3.5729
700
0.3694
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
