English注册

gigant/whisper-tiny-minds14-audio-course

🤗 Hugging Face 来源automatic-speech-recognitionapache-2.0453 MBother✓ 5 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对，然后提交。你只需开始做种，并粘贴你账户中的密钥。它只读取你的文件，绝不修改。如果愿意，可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo gigant/whisper-tiny-minds14-audio-course ./model-folder
需要做种者 →

whisper-tiny-minds14-audio-course

This model is a fine-tuned version of openai/whisper-tiny on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5309
  • Wer Ortho: 0.3516
  • Wer: 0.3418

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant_with_warmup
  • lr_scheduler_warmup_steps: 50
  • training_steps: 3

Training results

Training Loss Epoch Step Validation Loss Wer Ortho Wer
No log 0.04 1 0.5307 0.3677 0.3571
No log 0.07 2 0.5308 0.3677 0.3571
No log 0.11 3 0.5309 0.3516 0.3418

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3