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metadata
language:
  - nan
license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_16_1
base_model: openai/whisper-small
model-index:
  - name: Whisper Small Taiwanese - LoRA
    results: []

Whisper Small Taiwanese - LoRA

This model is a fine-tuned version of openai/whisper-small on the Common Voice 16.1 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9806

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: 0.001
  • train_batch_size: 8
  • 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
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
1.1346 0.2 100 1.2898
1.1269 0.4 200 1.1432
1.0896 0.6 300 1.0504
1.0369 0.8 400 1.0032
1.0069 1.0 500 0.9806

Framework versions

  • PEFT 0.9.0
  • Transformers 4.38.2
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2