README.md

metadata

language:
  - te
license: apache-2.0
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - INDIC_SUPERB_MUCS_OPENSLR
metrics:
  - wer
model-index:
  - name: Swecha Gonthuka - Limited Release
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Crowed sourced dataset
          type: INDIC SUPERB, MUCS, OPENSLR
          config: None
          split: None
          args: 'config: te, split: test'
        metrics:
          - name: Wer
            type: wer
            value: 28.59758159493464

Swecha Gonthuka - Limited Release

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

• Loss: 0.0768
• Wer: 28.5976

Collaborators

Trained by Naga Budigam

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: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 3000
• training_steps: 10000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0729	1.08	5000	0.0934	33.3306
0.0519	2.16	10000	0.0768	28.5976

Framework versions

• Transformers 4.26.0.dev0
• Pytorch 1.13.0
• Datasets 2.7.1
• Tokenizers 0.13.2