muhtasham / whisper-medium-tg_tj

huggingface.co
Total runs: 52
24-hour runs: 0
7-day runs: 32
30-day runs: 49
Model's Last Updated: December 20 2022
automatic-speech-recognition

Introduction of whisper-medium-tg_tj

Model Details of whisper-medium-tg_tj

Whisper Medium Tajik

This model is a fine-tuned version of openai/whisper-medium on the google/fleurs tg_tj dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9217
  • Wer: 23.1530
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: 32
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 5000
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer
0.0016 66.0 1000 0.6929 24.2993
0.0001 133.0 2000 0.8054 23.3022
0.0001 199.0 3000 0.8652 23.2237
0.0 266.0 4000 0.9019 23.2394
0.0 333.0 5000 0.9217 23.1530
Framework versions
  • Transformers 4.26.0.dev0
  • Pytorch 1.13.0+cu117
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2

Runs of muhtasham whisper-medium-tg_tj on huggingface.co

52
Total runs
0
24-hour runs
0
3-day runs
32
7-day runs
49
30-day runs

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whisper-medium-tg_tj install

whisper-medium-tg_tj is an open source model from GitHub that offers a free installation service, and any user can find whisper-medium-tg_tj on GitHub to install. At the same time, huggingface.co provides the effect of whisper-medium-tg_tj install, users can directly use whisper-medium-tg_tj installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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