csclean-tat

This model is a fine-tuned version of alexachang/whisper-small-csclean on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.2923
• eval_cer: 12.2014
• eval_runtime: 363.1582
• eval_samples_per_second: 4.973
• eval_steps_per_second: 0.622
• epoch: 2.9118
• step: 3500

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: 5e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Use adamw_torch 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: 300
• training_steps: 3500
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.52.4
• Pytorch 2.1.0+cu118
• Datasets 3.6.0
• Tokenizers 0.21.4