Edit model card

demo_model

This model is a fine-tuned version of hts98/whisper-medium-1113 on the None dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.5144
  • eval_wer: 100.0055
  • eval_runtime: 67.4062
  • eval_samples_per_second: 3.397
  • eval_steps_per_second: 0.341
  • epoch: 3.04
  • step: 280

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: 10
  • eval_batch_size: 10
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 30
  • training_steps: 500
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.29.0.dev0
  • Pytorch 2.0.0+cu117
  • Datasets 2.7.0
  • Tokenizers 0.13.3
Downloads last month
8