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