README.md

metadata

language:
  - or
license: apache-2.0
tags:
  - whisper-event
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_11_0
metrics:
  - wer
model-index:
  - name: Whisper Small Odia v1.2
    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: 30.521861777150917

Whisper Small Odia v1.2

This model is a fine-tuned version of chandan3007/Whisper-small-oriya on the mozilla-foundation/common_voice_11_0 or dataset. It achieves the following results on the evaluation set:

• Loss: 0.4804
• Wer: 30.5219

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: 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: 1000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0041	12.01	250	0.4540	31.5092
0.0011	24.02	500	0.4804	30.5219
0.0004	37.01	750	0.5306	31.4810
0.0	49.02	1000	0.5506	32.7786

Framework versions

• Transformers 4.26.1
• Pytorch 1.11.0+cu102
• Datasets 2.10.0
• Tokenizers 0.13.2