speecht5_finetuned_librispeech_polish_epo6_batch8_gas2

This model is a fine-tuned version of dawid511/speecht5_finetuned_librispeech_polish_epo6_batch4_gas4 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3742

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: 2
• total_train_batch_size: 16
• 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: 6
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.7222	1.0204	100	0.3776
0.7464	2.0408	200	0.3804
0.736	3.0612	300	0.3713
0.721	4.0816	400	0.3762
0.7314	5.1020	500	0.3742

Framework versions

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