README.md

metadata

language:
  - en
license: apache-2.0
tags:
  - whisper-event
  - generated_from_trainer
datasets:
  - testdata
model-index:
  - name: Whisper Base Test En
    results: []

Whisper Base Test En

This model is a fine-tuned version of openai/whisper-base on the testdata 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: 16
• 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: 5
• training_steps: 100
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3