speecht5_finetuned_voxpopuli_nl_after_ceb

This model is a fine-tuned version of mikhail-panzo/speecht5_finetuned_voxpopuli_nl on the audiofolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.3670

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
0.0307	1000.0	1000	0.3340
0.0271	2000.0	2000	0.3644
0.0255	3000.0	3000	0.3460
0.0255	4000.0	4000	0.3670

Framework versions

• Transformers 4.38.0.dev0
• Pytorch 2.2.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1