whisper-medium.en / README.md
crossdelenna's picture
update model card README.md
6170914
|
raw
history blame
1.6 kB
metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: whisper-medium.en
    results: []

whisper-medium.en

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

  • Loss: 0.1108
  • Wer: 5.8805

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: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 10
  • training_steps: 452
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.0653 0.27 150 0.2977 9.9969
0.2358 0.54 300 0.1856 8.5732
0.3249 0.81 450 0.1108 5.8805

Framework versions

  • Transformers 4.28.0.dev0
  • Pytorch 1.13.1+cu116
  • Datasets 2.11.0
  • Tokenizers 0.13.2