muk-sw-digits-classification

This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.4746
• eval_accuracy: 0.9333
• eval_runtime: 4.4354
• eval_samples_per_second: 67.637
• eval_steps_per_second: 67.637
• epoch: 10.0
• step: 12000

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: 3e-05
• train_batch_size: 2
• eval_batch_size: 1
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 50

Framework versions

• Transformers 4.57.1
• Pytorch 2.9.1
• Datasets 4.4.1
• Tokenizers 0.22.1