speecht5_finetuned_voxpopuli_nl

This model was trained from scratch on the voxpopuli dataset. It achieves the following results on the evaluation set:

• Loss: 0.4471

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

Training results

Training Loss	Epoch	Step	Validation Loss
0.5048	1.33	1000	0.4601
0.4845	2.66	2000	0.4519
0.483	3.99	3000	0.4478
0.4806	5.33	4000	0.4471

Framework versions

• Transformers 4.32.1
• Pytorch 2.1.2
• Datasets 2.12.0
• Tokenizers 0.13.2