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

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# scream_small_beta

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) 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: 5e-05
- lr_scheduler_type: linear
- per_device_train_batch_size: 32
- total_train_batch_size_per_node: 128
- total_train_batch_size: 1024
- total_optimization_steps: 25,000
- starting_optimization_step: None
- finishing_optimization_step: 25,000
- num_train_dataset_workers: 32
- num_hosts: 8
- total_num_training_examples: 25,600,000
- steps_per_epoch: 6259
- num_beams: None
- dropout: True
- bpe_dropout_probability: 0.1

### Training results

| step  | validation_fleurs_loss | train_loss | validation_fleurs_wer | validation_fleurs_cer | validation_fleurs_exact_wer | validation_fleurs_exact_cer | validation_stortinget_loss | validation_stortinget_wer | validation_stortinget_cer | validation_stortinget_exact_wer | validation_stortinget_exact_cer | validation_nrk_tv_loss | validation_nrk_tv_wer | validation_nrk_tv_cer | validation_nrk_tv_exact_wer | validation_nrk_tv_exact_cer |
|:-----:|:----------------------:|:----------:|:---------------------:|:---------------------:|:---------------------------:|:---------------------------:|:--------------------------:|:-------------------------:|:-------------------------:|:-------------------------------:|:-------------------------------:|:----------------------:|:---------------------:|:---------------------:|:---------------------------:|:---------------------------:|
| 0     | 1.2013                 | 2.7117     | 32.3914               | 9.8343                | 35.7228                     | 10.9398                     | 1.4988                     | 44.0673                   | 22.9444                   | 48.2612                         | 24.2595                         | 1.8165                 | 79.9390               | 54.6020               | 89.7612                     | 56.8482                     |
| 1000  | 0.5796                 | 1.0147     | 16.1214               | 5.2624                | 19.9821                     | 6.2962                      | 0.4822                     | 22.0502                   | 13.3652                   | 25.7586                         | 14.0827                         | 1.0170                 | 51.9187               | 37.4011               | 59.7853                     | 39.0187                     |
| 2000  | 0.4483                 | 0.8851     | 12.4628               | 4.6064                | 16.2485                     | 5.6101                      | 0.3988                     | 18.2903                   | 11.9625                   | 21.9050                         | 12.6098                         | 0.9032                 | 46.8241               | 34.8122               | 55.1298                     | 36.2314                     |
| 3000  | 0.4130                 | 0.8246     | 11.6002               | 4.7445                | 15.4122                     | 5.7357                      | 0.3602                     | 16.9068                   | 11.3683                   | 20.4599                         | 11.9897                         | 0.8434                 | 46.9972               | 35.4892               | 54.8885                     | 36.8431                     |
| 4000  | 0.3946                 | 0.7897     | 10.2617               | 4.2365                | 14.4564                     | 5.1703                      | 0.3359                     | 16.1132                   | 11.0146                   | 19.5868                         | 11.6112                         | 0.8112                 | 44.8580               | 33.8810               | 52.6086                     | 35.2519                     |
| 5000  | 0.4532                 | 0.7438     | 10.3807               | 4.2809                | 14.1876                     | 5.2090                      | 0.3295                     | 15.7676                   | 10.8729                   | 19.2134                         | 11.4603                         | 0.8051                 | 44.2068               | 33.3323               | 51.3438                     | 34.6898                     |
| 6000  | 0.4496                 | 0.7275     | 10.1725               | 4.1182                | 13.9785                     | 5.1075                      | 0.3247                     | 15.3487                   | 10.6600                   | 18.8008                         | 11.2647                         | 0.8003                 | 43.8399               | 33.1808               | 51.5810                     | 34.5430                     |
| 7000  | 0.4061                 | 0.7164     | 10.0535               | 4.4190                | 13.8292                     | 5.3829                      | 0.3183                     | 15.0975                   | 10.5465                   | 18.5450                         | 11.1334                         | 0.7788                 | 43.4813               | 33.2975               | 51.5227                     | 34.6075                     |
| 8000  | 0.3531                 | 0.7066     | 9.4587                | 4.0590                | 13.2616                     | 4.9915                      | 0.3088                     | 15.0711                   | 10.5598                   | 18.4922                         | 11.1406                         | 0.7575                 | 43.4318               | 33.3995               | 51.1192                     | 34.7187                     |
| 9000  | 0.3529                 | 0.6867     | 10.0833               | 4.2612                | 14.2174                     | 5.3684                      | 0.3107                     | 14.8659                   | 10.4674                   | 18.3762                         | 11.0681                         | 0.7651                 | 41.5811               | 31.9552               | 49.5507                     | 33.2483                     |
| 10000 | 0.4180                 | 0.6707     | 9.3099                | 4.2711                | 13.0526                     | 5.2621                      | 0.3090                     | 14.9093                   | 10.4711                   | 18.3745                         | 11.0540                         | 0.7626                 | 42.2530               | 32.3733               | 49.9251                     | 33.5916                     |


### Framework versions

- Transformers 4.31.0.dev0
- Datasets 2.13.0
- Tokenizers 0.13.3