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simrank14 Whisper small val i

This model is a fine-tuned version of simran14/mr-model-h on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0002
  • Wer: 0.0323

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: 5e-07
  • train_batch_size: 8
  • 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: 100
  • num_epochs: 2
  • mixed_precision_training: Native AMP

Training results

Training Loss step Validation Loss Wer
0.0002 1000 0.0003 0.0646
0.0001 2000 0.0002 0.0323

Framework versions

  • Transformers 4.45.0.dev0
  • Pytorch 2.4.0+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1
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Dataset used to train simran14/finetuned-whisper-mr

Evaluation results