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he

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

  • eval_loss: 0.7434
  • eval_wer: 12.1548
  • eval_avg_precision_Exact: 0.9045
  • eval_avg_recall_Exact: 0.9047
  • eval_avg_f1_Exact: 0.9042
  • eval_avg_precision_Letter_Shift: 0.9263
  • eval_avg_recall_Letter_Shift: 0.9265
  • eval_avg_f1_Letter_Shift: 0.9260
  • eval_avg_precision_Word_Level: 0.9288
  • eval_avg_recall_Word_Level: 0.9291
  • eval_avg_f1_Word_Level: 0.9285
  • eval_avg_precision_Word_Shift: 0.9744
  • eval_avg_recall_Word_Shift: 0.9757
  • eval_avg_f1_Word_Shift: 0.9746
  • eval_precision_median_exact: 1.0
  • eval_recall_median_exact: 1.0
  • eval_f1_median_exact: 1.0
  • eval_precision_max_exact: 1.0
  • eval_recall_max_exact: 1.0
  • eval_f1_max_exact: 1.0
  • eval_precision_min_Exact: 0.0
  • eval_recall_min_Exact: 0.0
  • eval_f1_min_Exact: 0.0
  • eval_precision_min_Letter_Shift: 0.0
  • eval_recall_min_Letter_Shift: 0.0
  • eval_f1_min_Letter_Shift: 0.0
  • eval_precision_min_Word_Level: 0.0
  • eval_recall_min_Word_Level: 0.0
  • eval_f1_min_Word_Level: 0.0
  • eval_precision_min_Word_Shift: 0.0
  • eval_recall_min_Word_Shift: 0.0
  • eval_f1_min_Word_Shift: 0.0
  • eval_runtime: 1534.2005
  • eval_samples_per_second: 1.755
  • eval_steps_per_second: 0.055
  • step: 0

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: 8
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 100
  • training_steps: 30000
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.39.0.dev0
  • Pytorch 2.2.1+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.0
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F32
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