metadata

language:
  - tt
license: apache-2.0
tags:
  - hf-asr-leaderboard
  - whisper-event
datasets:
  - mozilla-foundation/common_voice_11_0
metrics:
  - wer
model-index:
  - name: Whisper Small Tatar - Kirill Milintsevich
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Common Voice 11.0
          type: mozilla-foundation/common_voice_11_0
          args: 'Config: tt'
        metrics:
          - name: Wer
            type: wer
            value: 29.091166477916197

Whisper Small Tatar - Kirill Milintsevich

This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

Loss: 0.4745
Wer: 29.1407

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: 8
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
0.0415	4.98	1000	0.3252	29.9512
0.0041	9.95	2000	0.3982	29.4805
0.0007	14.93	3000	0.4457	29.1513
0.0003	19.9	4000	0.4665	29.0912
0.0002	24.88	5000	0.4745	29.1407