speecht5_finetuned_librispeech_polish_epo10_batch2_gas6

This model is a fine-tuned version of dawid511/speecht5_finetuned_librispeech_polish_epo10_batch2_gas5 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3684

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: 6
• 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: 200
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.3292	1.5294	200	0.3811
2.2904	3.0537	400	0.3777
2.3168	4.5831	600	0.3775
2.2242	6.1074	800	0.3743
2.2363	7.6368	1000	0.3721
2.1448	9.1611	1200	0.3684

Framework versions

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