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whisper-medium_AcodeMixed_ASR

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metadata
language:
  - multilingual
license: apache-2.0
base_model: openai/whisper-medium
tags:
  - generated_from_trainer
model-index:
  - name: Whisper Medium CodeMixed bn-en - Mohammad Fayez Ullah
    results: []

Whisper Medium CodeMixed bn-en - Mohammad Fayez Ullah

This model is a fine-tuned version of openai/whisper-medium on the Custom dataset: CodeMixed-BanEng dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.1913
  • eval_wer: 40.7018
  • eval_runtime: 519.0489
  • eval_samples_per_second: 0.605
  • eval_steps_per_second: 0.152
  • epoch: 61.3208
  • step: 6500

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: 12
  • eval_batch_size: 4
  • 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: 12000
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.41.1
  • Pytorch 2.2.1
  • Datasets 2.19.1
  • Tokenizers 0.19.1