README.md

metadata

license: afl-3.0
tags:
  - whisper-event
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_11_0
metrics:
  - wer
model-index:
  - name: Whisper_Small_Odia_CV_11.0_5k_steps
    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: 23.497884344146687
language:
  - or

Whisper_Small_Odia_CV_11.0_5k_steps

This model is a fine-tuned version of Ranjit/Whisper_Small_Odia_10k_steps on the mozilla-foundation/common_voice_11_0 or dataset. It achieves the following results on the evaluation set:

• Loss: 0.4827
• Wer: 23.4979

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
0.0018	50.0	1000	0.3315	24.0903
0.0	100.0	2000	0.4098	23.7236
0.0	150.0	3000	0.4827	23.4979
0.0	200.0	4000	0.4914	23.8928
0.0	250.0	5000	0.4953	23.7800