speecht5_finetuned_mycommonvoice_cy2

This model is a fine-tuned version of TomapDan/speecht5_finetuned_mycommonvoice_cy on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5319

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: 1e-05
• train_batch_size: 8
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 64
• optimizer: Use OptimizerNames.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: 500
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.2499	1000.0	1000	0.4838
0.2253	2000.0	2000	0.5008
0.2135	3000.0	3000	0.5361
0.2118	4000.0	4000	0.5319

Framework versions

• Transformers 4.52.4
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.21.1