README.md

metadata

language:
  - ko
license: apache-2.0
base_model: openai/whisper-medium
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: whisper_medium
    results: []

whisper_medium

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

• Loss: 1.6505
• Cer: 12.0457
• Wer: 29.9853

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-07
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 500
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer	Wer
1.6678	0.04	500	1.6505	12.0457	29.9853

Framework versions

• Transformers 4.37.0.dev0
• Pytorch 1.12.1+cu113
• Datasets 2.15.0
• Tokenizers 0.15.0