speecht5_tts_commonvoice_official_polish_4000_5k-2

This model is a fine-tuned version of microsoft/speecht5_tts on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3859

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: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• 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: 1000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5246	0.4728	100	0.4775
0.4798	0.9456	200	0.4254
0.4618	1.4161	300	0.4084
0.4505	1.8889	400	0.4000
0.4383	2.3593	500	0.3932
0.4374	2.8322	600	0.3913
0.4249	3.3026	700	0.3881
0.4382	3.7754	800	0.3882
0.4222	4.2459	900	0.3856
0.4248	4.7187	1000	0.3859

Framework versions

• Transformers 4.48.0.dev0
• Pytorch 2.5.1+cu121
• Datasets 3.1.0
• Tokenizers 0.21.0