speecht5_finetuned_fleurs_en_us

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

• Loss: 0.4831

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: 4
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 5
• training_steps: 54

Training results

Training Loss	Epoch	Step	Validation Loss
0.719	0.33	9	0.5634
0.5994	0.67	18	0.5290
0.584	1.0	27	0.4924
0.5589	1.33	36	0.4828
0.5747	1.67	45	0.4848
0.5904	2.0	54	0.4831

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.3
• Tokenizers 0.13.3