speecht5_finetuned_voxpopuli_en

This model is a fine-tuned version of speechbrain/spkrec-xvect-voxceleb on the facebook/voxpopuli dataset. It achieves the following results on the evaluation set:

• Loss: 0.6952

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: 10
• training_steps: 20

Training results

Training Loss	Epoch	Step	Validation Loss
0.7848	0.12	10	0.7479
0.7404	0.24	20	0.6952

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.1
• Tokenizers 0.13.3