EvgenyShivchenkoUIT/speecht5_finetuned_gcr_6

TTS SpeechT5 GCR

This model is a fine-tuned version of Sandiago21/speecht5_finetuned_facebook_voxpopuli_french on the GuianeseCreole dataset. It achieves the following results on the evaluation set:

• Loss: 0.4698

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: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 32
• 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: 50
• training_steps: 900
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.6278	3.4622	100	0.5139
0.5249	6.9244	200	0.4909
0.4875	10.3556	300	0.4814
0.481	13.8178	400	0.4738
0.462	17.2489	500	0.4714
0.4601	20.7111	600	0.4699
0.4512	24.1422	700	0.4688
0.4496	27.6044	800	0.4687
0.4455	31.0356	900	0.4698

Framework versions

• Transformers 4.52.0
• Pytorch 2.11.0+cu128
• Datasets 3.6.0
• Tokenizers 0.21.4