large-spot-vad-r8-a8

• Loss: 0.8749
• Wer: 730.5616

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 1e-06
• train_batch_size: 2
• eval_batch_size: 1
• seed: 123
• gradient_accumulation_steps: 16
• total_train_batch_size: 32
• optimizer: Use adamw_bnb_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 15642
• mixed_precision_training: Native AMP

Training results

Framework versions

• PEFT 0.17.1
• Transformers 4.57.0
• Pytorch 2.8.0+cu128
• Datasets 4.2.0
• Tokenizers 0.22.1