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CKSINGH
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whisper-small-hi-firefox

Automatic Speech Recognition
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PyTorch
TensorBoard
Safetensors
Hindi
whisper
hf-asr-leaderboard
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metadata
language:
  - hi
license: apache-2.0
base_model: CKSINGH/whisper-small-hi-iiib
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: CKSINGH whisper-small-hi-fiefox
    results: []

CKSINGH whisper-small-hi-fiefox

This model is a fine-tuned version of CKSINGH/whisper-small-hi-iiib on the Common Voice 13.0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2473
  • Wer: 11.4253
  • Cer: 7.5700

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: 3000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Cer
0.0382 3.57 1000 0.2021 12.8043 8.1173
0.0027 7.14 2000 0.2321 11.6614 7.6820
0.0001 10.71 3000 0.2473 11.4253 7.5700

Framework versions

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