metadata

language:
  - sv
license: apache-2.0
tags:
  - whisper-event
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_11_0
metrics:
  - wer
model-index:
  - name: Whisper Tiny Swedish Fast
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: mozilla-foundation/common_voice_11_0 sv-SE
          type: mozilla-foundation/common_voice_11_0
          config: sv-SE
          split: test
          args: sv-SE
        metrics:
          - name: Wer
            type: wer
            value: 73.01634232878185

Whisper Tiny Swedish Fast

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

Loss: 1.4344
Wer: 73.0163

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: 128
eval_batch_size: 64
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
1.5547	6.01	1000	1.9244	113.4448
0.7244	12.02	2000	1.4593	81.0128
0.3583	18.03	3000	1.4019	74.3415
0.2157	25.01	4000	1.4249	73.8953
0.1897	31.02	5000	1.4344	73.0163

Framework versions

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