speecht5_finetuned_librispeech_polish_epo3_batch4_gas3

This model is a fine-tuned version of dawid511/speecht5_finetuned_librispeech_polish_epo3_batch4_gas2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3647

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: 3
• total_train_batch_size: 12
• 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: 800
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.2	1.5294	200	0.3780
1.1099	3.0537	400	0.3704
1.1321	4.5831	600	0.3687
1.1028	6.1074	800	0.3647

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0