README.md

metadata

language:
  - sk
license: apache-2.0
tags:
  - whisper-event
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_11_0
metrics:
  - wer
base_model: mikr/whisper-small-cs-cv11
model-index:
  - name: Whisper Small Slovak test on Czech
    results:
      - task:
          type: automatic-speech-recognition
          name: Automatic Speech Recognition
        dataset:
          name: mozilla-foundation/common_voice_11_0
          type: mozilla-foundation/common_voice_11_0
          config: sk
          split: test
          args: sk
        metrics:
          - type: wer
            value: 35.43550690147549
            name: Wer

Whisper Small Slovak test on Czech

This model is a fine-tuned version of mikr/whisper-small-cs-cv11 on the mozilla-foundation/common_voice_11_0 sk dataset. It achieves the following results on the evaluation set:

• Loss: 0.7223
• Wer: 35.4355

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

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.001	21.0	1000	0.6507	37.3275
0.0003	42.01	2000	0.6954	36.1138
0.0002	63.01	3000	0.7223	35.4355
0.0001	85.0	4000	0.7388	35.5902
0.0001	106.0	5000	0.7465	35.6735

Framework versions

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