metadata

license: afl-3.0
tags:
  - whisper-event
  - generated_from_trainer
  - oriya
datasets:
  - Ranjit/or_in_dataset
metrics:
  - wer
model-index:
  - name: Whisper Small Odia 10k steps
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Ranjit/or_in_dataset
          type: Ranjit/or_in_dataset
          split: test
        metrics:
          - name: Wer
            type: wer
            value: 19.772043934466467
language:
  - or
pipeline_tag: automatic-speech-recognition

Whisper Small Odia 10k steps

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

Loss: 0.2806
Wer: 19.7720

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: 10000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0384	0.49	1000	0.1349	40.3740
0.0175	0.98	2000	0.1601	22.6468
0.0091	1.46	3000	0.1817	23.1515
0.0082	1.95	4000	0.2125	23.9139
0.0048	2.44	5000	0.2110	20.2522
0.0037	2.93	6000	0.2270	21.4855
0.0017	3.42	7000	0.2534	20.2399
0.0018	3.9	8000	0.2706	20.7277
0.0005	4.39	9000	0.2806	19.7720
0.0006	4.88	10000	0.2929	20.9747