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whisper-small-taiwanese-lora

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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: 0.6364

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: 16
  • eval_batch_size: 24
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 250
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.9605 0.65 1000 0.9080
0.7138 1.29 2000 0.7496
0.6426 1.94 3000 0.6741
0.5076 2.58 4000 0.6364

Framework versions

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