This model is a fine-tuned version of microsoft/speecht5_tts on the common_voice_16_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.4693

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: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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
0.6003	5.13	500	0.5255
0.5378	10.27	1000	0.4966
0.5223	15.4	1500	0.4840
0.5129	20.54	2000	0.4760
0.5059	25.67	2500	0.4714
0.4942	30.81	3000	0.4711
0.4944	35.94	3500	0.4691
0.497	41.08	4000	0.4693

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0

drondao/speecht5_finetuned_commonvoice_da

speecht5_finetuned_commonvoice_da

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

drondao/
speecht5_finetuned_commonvoice_da