Hugging Face's logo

xppast
/
voice

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
voice / README.md
xppast's picture
xppast
End of training
01a1794
preview code
|
raw
history blame contribute delete
1.66 kB
metadata
language:
  - ko
license: apache-2.0
base_model: openai/whisper-base
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - xppast/voice
model-index:
  - name: jinkrsmodel
    results: []

jinkrsmodel

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

  • Loss: 1.6485
  • Cer: 40.4444

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: 500
  • training_steps: 400
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Cer
0.0146 33.33 100 1.4532 35.5556
0.0034 66.67 200 1.5364 40.8889
0.0013 100.0 300 1.5890 41.3333
0.0007 133.33 400 1.6485 40.4444

Framework versions

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