README.md

metadata

language:
  - 'no'
license: apache-2.0
tags:
  - audio
  - asr
  - automatic-speech-recognition
  - hf-asr-leaderboard
model-index:
  - name: scream_sextusdecimus_virtual_tsfix_medium_1e5
    results: []

scream_sextusdecimus_virtual_tsfix_medium_1e5

This model is a fine-tuned version of openai/whisper-medium on the NbAiLab/ncc_speech 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
• lr_scheduler_type: linear
• per_device_train_batch_size: 16
• total_train_batch_size_per_node: 64
• total_train_batch_size: 512
• total_optimization_steps: 20,000
• starting_optimization_step: None
• finishing_optimization_step: 20,000
• num_train_dataset_workers: 32
• num_hosts: 8
• total_num_training_examples: 10,240,000
• steps_per_epoch: To be computed after first epoch
• num_beams: None
• dropout: True
• bpe_dropout_probability: 0.1
• activation_dropout_probability: 0.1

Training results

step	eval_loss	train_loss	eval_wer	eval_cer	eval_exact_wer	eval_exact_cer
0	5.5890	2.8362	17.4598	5.3906	17.4598	5.3906

Framework versions

• Transformers 4.30.0.dev0
• Datasets 2.12.1.dev0
• Tokenizers 0.13.3