metadata

license: apache-2.0
tags:
  - whisper-event
  - generated_from_trainer
datasets:
  - common_voice_11_0
model-index:
  - name: Whisper Medium TW - Augmented
    results: []

Whisper Medium TW - Augmented

This model is a fine-tuned version of openai/whisper-medium on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:

eval_loss: 0.0951
eval_wer: 7.4865
eval_runtime: 2823.6824
eval_samples_per_second: 1.668
eval_steps_per_second: 0.834
epoch: 1.7
step: 600

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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 1000
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