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Jungwonchang
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whisper_base.en-Full-SPGIspeech-xs

Automatic Speech Recognition
Transformers
Safetensors
English
whisper
Generated from Trainer
Eval Results
Inference Endpoints
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whisper_base.en-Full-SPGIspeech-xs / README.md
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metadata
language:
  - en
license: apache-2.0
base_model: openai/whisper-base.en
tags:
  - generated_from_trainer
datasets:
  - Jungwonchang/spgispeech_xs
model-index:
  - name: openai/whisper-base.en, all the parameters updated for 5 epochs
    results: []

openai/whisper-base.en, all the parameters updated for 5 epochs

This model is a fine-tuned version of openai/whisper-base.en on the 2 hour dataset of SPGIspeech(custom dataset) dataset.

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: 32
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • training_steps: 120
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.36.0.dev0
  • Pytorch 1.12.1+cu116
  • Datasets 2.4.0
  • Tokenizers 0.15.0