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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
base_model: openai/whisper-small
datasets:
  - mozilla-foundation/common_voice_16_1
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: 0.4459

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: 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: 2
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.425 1.0 3111 0.5223
0.2723 2.0 6222 0.4459

Framework versions

  • PEFT 0.10.1.dev0
  • Transformers 4.38.1
  • Pytorch 2.1.2
  • Datasets 2.18.1.dev0
  • Tokenizers 0.15.2