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metadata
language:
  - ko
license: apache-2.0
base_model: openai/whisper-medium
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - DianaJin/show
model-index:
  - name: jinkrsmodel
    results: []

jinkrsmodel

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

  • Loss: 1.4034
  • Cer: 71.5618

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: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • training_steps: 400
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Cer
0.0009 33.33 100 1.3346 48.9510
0.0005 66.67 200 1.2890 62.7040
0.0004 100.0 300 1.3687 71.0956
0.0004 133.33 400 1.4034 71.5618

Framework versions

  • Transformers 4.36.0.dev0
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0