README.md

metadata

language:
  - zh
license: apache-2.0
library_name: peft
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_16_0
base_model: openai/whisper-large-v3
model-index:
  - name: Whisper Large v3 zh-TW - Chinese
    results: []

Whisper Large v3 zh-TW - Chinese

This model is a fine-tuned version of openai/whisper-large-v3 on the Common Voice 16.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.1537

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: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.198	1.0	1507	0.1869
0.0817	2.0	3014	0.1605
0.021	3.0	4521	0.1537

Framework versions

• PEFT 0.7.1
• Transformers 4.36.2
• Pytorch 2.1.0.post301
• Datasets 2.16.1
• Tokenizers 0.15.0