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speecht5_finetuned_own_polish_epo3_batch2_gas3 – AI Model by Dawid511 | AlphaNeural AI
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speecht5_finetuned_own_polish_epo3_batch2_gas3
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transformers
tensorboard
safetensors
speecht5
text-to-audio
generated_from_trainer
mit
endpoints_compatible
us
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speecht5_finetuned_own_polish_epo3_batch2_gas3
This model is a fine-tuned version of
dawid511/speecht5_finetuned_own_polish_epo3_batch2_gas2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3771
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: 3
total_train_batch_size: 6
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
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.2675
0.6
100
0.3900
1.2915
1.204
200
0.3989
1.2222
1.804
300
0.3851
1.2101
2.408
400
0.3771
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
