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simrank14 Whisper small 1F 8e

This model is a fine-tuned version of simran14/small_8_e on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3741
  • Wer: 13.9565

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: 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: 8
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.0081 2.8329 1000 0.3428 14.8962
0.0012 5.6657 2000 0.3741 13.9565

Framework versions

  • Transformers 4.45.0.dev0
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.1.dev0
  • Tokenizers 0.19.1
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Dataset used to train simran14/small_8_f

Evaluation results