whisper-small-taiwanese-asr-v2

This model is a fine-tuned version of openai/whisper-small on the gacky1601/Taiwanese_ASR dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2297
  • Wer: 6.0497

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: 6
  • eval_batch_size: 6
  • 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: 10000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.083 2.2676 1000 0.1953 8.1731
0.0444 4.5351 2000 0.1973 6.9444
0.0294 6.8027 3000 0.1984 6.5171
0.0334 9.0703 4000 0.2099 6.3034
0.0011 11.3379 5000 0.2229 6.3835
0.0001 13.6054 6000 0.2200 6.2099
0.0001 15.8730 7000 0.2297 6.0497
0.0001 18.1406 8000 0.2317 6.0764
0.0001 20.4082 9000 0.2375 6.3969
0.0 22.6757 10000 0.2379 6.4904

Framework versions

  • Transformers 4.45.2
  • Pytorch 2.5.1+cu124
  • Datasets 3.2.0
  • Tokenizers 0.20.3
Downloads last month
11
Safetensors
Model size
242M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for gacky1601/whisper-small-taiwanese-asr-v2

Finetuned
(2102)
this model

Dataset used to train gacky1601/whisper-small-taiwanese-asr-v2

Evaluation results