whisper_fintuned / README.md
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metadata
license: apache-2.0
base_model: openai/whisper-tiny.en
tags:
  - generated_from_trainer
model-index:
  - name: whisper_fintuned
    results: []

whisper_fintuned

This model is a fine-tuned version of openai/whisper-tiny.en on an unknown dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.2894
  • eval_wer: 13.9949
  • eval_runtime: 54.8883
  • eval_samples_per_second: 9.109
  • eval_steps_per_second: 1.148
  • epoch: 16.3889
  • step: 590

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: 128
  • 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: 1000

Framework versions

  • Transformers 4.40.1
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1.dev0
  • Tokenizers 0.19.1