---
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: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
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# scream_sextusdecimus_virtual_tsfix_medium_1e5

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/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