speecht5_finetuned_voxpopuli_nl_10000

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

• Loss: 0.4738

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: 8
• 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: 500
• training_steps: 2500
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5645	1.5619	500	0.5125
0.5299	3.1238	1000	0.4888
0.5206	4.6857	1500	0.4778
0.5118	6.2476	2000	0.4747
0.5148	7.8094	2500	0.4738

Framework versions

• Transformers 4.44.0
• Pytorch 2.1.1+cu118
• Datasets 2.20.0
• Tokenizers 0.19.1