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metadata
language:
  - he
license: apache-2.0
base_model: openai/whisper-medium
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
model-index:
  - name: he-cantillation
    results: []

he-cantillation

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: 0.1666
  • eval_wer: 10.9128
  • eval_avg_precision_Exact: 0.9184
  • eval_avg_recall_Exact: 0.9197
  • eval_avg_f1_Exact: 0.9188
  • eval_avg_precision_Letter_Shift: 0.9365
  • eval_avg_recall_Letter_Shift: 0.9379
  • eval_avg_f1_Letter_Shift: 0.9369
  • eval_avg_precision_Word_Level: 0.9382
  • eval_avg_recall_Word_Level: 0.9395
  • eval_avg_f1_Word_Level: 0.9385
  • eval_avg_precision_Word_Shift: 0.9779
  • eval_avg_recall_Word_Shift: 0.9797
  • eval_avg_f1_Word_Shift: 0.9784
  • 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: 0.1429
  • eval_recall_min_Word_Shift: 0.1111
  • eval_f1_min_Word_Shift: 0.125
  • eval_runtime: 1554.5785
  • eval_samples_per_second: 1.732
  • eval_steps_per_second: 0.055
  • epoch: 4.0
  • step: 50000

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: 1000
  • training_steps: 50000
  • 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