metadata

license: cc-by-nd-4.0
tags:
  - whisper-event
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_11_0
metrics:
  - wer
model-index:
  - name: odia_whisper_small_v3.0
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: mozilla-foundation/common_voice_11_0 or
          type: mozilla-foundation/common_voice_11_0
          config: or
          split: test
          args: or
        metrics:
          - name: Wer
            type: wer
            value: 13.8614
language:
  - or

Ranjit/whisper_small_35k_or

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

Loss: 0.2584
Wer: 13.8614

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
training_steps: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0022	5.59	1000	0.2405	13.9995
0.0005	11.17	2000	0.2584	13.8614
0.0002	16.76	3000	0.2683	16.5598
0.0	22.35	4000	0.2907	15.0380
0.0	27.93	5000	0.3085	14.2035