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whisper-small-hi-finalBatch-test

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metadata
language:
  - hi
license: apache-2.0
base_model: CKSINGH/whisper-small-hi-graminVoice
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: Whisper small Hi - CKS 2511 finalbatch
    results: []

Whisper small Hi - CKS 2511 finalbatch

This model is a fine-tuned version of CKSINGH/whisper-small-hi-graminVoice on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5777
  • Wer: 33.1148
  • Cer: 14.1232

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: 1.75e-05
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 2000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Cer
0.1067 6.94 500 0.4508 36.7213 17.2021
0.0083 13.89 1000 0.5445 35.4098 15.9973
0.001 20.83 1500 0.5720 34.7541 14.9264
0.0001 27.78 2000 0.5777 33.1148 14.1232

Framework versions

  • Transformers 4.36.0.dev0
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0