whisper-small-kn / README.md
parambharat's picture
update model card README.md
50d838b
|
raw
history blame
1.31 kB
metadata
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: whisper-small-kn
    results: []

whisper-small-kn

This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.1494
  • eval_wer: 24.4177
  • eval_runtime: 164.5271
  • eval_samples_per_second: 0.608
  • eval_steps_per_second: 0.024
  • epoch: 0.4
  • step: 2500

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: 64
  • eval_batch_size: 32
  • 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

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.13.0+cu117
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2