This model is a fine-tuned version of microsoft/speecht5_tts on the common_voice_16_1 dataset. It achieves the following results on the evaluation set:

Loss: 0.4813

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: 32
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 8000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5681	2.9674	1000	0.5239
0.5329	5.9347	2000	0.4958
0.5173	8.9021	3000	0.4898
0.5089	11.8694	4000	0.4857
0.5023	14.8368	5000	0.4809
0.4998	17.8042	6000	0.4788
0.4983	20.7715	7000	0.4799
0.4992	23.7389	8000	0.4813

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

bryandts/speecht5_finetuned_mozilla_id_11k

speecht5_finetuned_mozilla_id_11k

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

bryandts/
speecht5_finetuned_mozilla_id_11k