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---
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.
It achieves the following results on the evaluation set:
- step: 24999
- validation_fleurs_loss: 0.3973
- train_loss: 0.6021
- validation_fleurs_wer: 9.3099
- validation_fleurs_cer: 4.1971
- validation_fleurs_exact_wer: 12.8734
- validation_fleurs_exact_cer: 5.2187
- validation_stortinget_loss: 0.2984
- validation_stortinget_wer: 14.6028
- validation_stortinget_cer: 10.4391
- validation_stortinget_exact_wer: 18.0343
- validation_stortinget_exact_cer: 11.0177
- validation_nrk_tv_loss: 0.7428
- validation_nrk_tv_wer: 42.2159
- validation_nrk_tv_cer: 32.6028
- validation_nrk_tv_exact_wer: 49.9168
- validation_nrk_tv_exact_cer: 33.8385
## 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 |
| 11000 | 0.3910 | 0.6874 | 9.7561 | 4.4881 | 13.9188 | 5.5859 | 0.3046 | 15.1792 | 10.7022 | 18.5484 | 11.2682 | 0.7605 | 42.7847 | 32.9575 | 50.4368 | 34.1589 |
| 12000 | 0.4032 | 0.6411 | 9.9048 | 4.4239 | 13.5006 | 5.4409 | 0.3052 | 14.7986 | 10.3955 | 18.1349 | 10.9770 | 0.7578 | 42.5663 | 32.5781 | 50.1914 | 33.8385 |
| 13000 | 0.3947 | 0.6516 | 8.9827 | 4.1132 | 13.2915 | 5.2283 | 0.3060 | 14.7458 | 10.3560 | 18.1673 | 10.9388 | 0.7544 | 42.6569 | 32.8756 | 50.4493 | 34.1344 |
| 14000 | 0.3708 | 0.6618 | 9.6669 | 4.5177 | 13.4110 | 5.5762 | 0.3027 | 14.6471 | 10.4162 | 18.0343 | 10.9920 | 0.7516 | 42.3519 | 32.5672 | 49.7296 | 33.8119 |
| 15000 | 0.3782 | 0.6338 | 9.1612 | 4.0787 | 12.8734 | 5.0302 | 0.3026 | 14.6079 | 10.3933 | 17.9934 | 10.9722 | 0.7488 | 41.9933 | 32.2473 | 49.6214 | 33.4455 |
| 16000 | 0.4045 | 0.6512 | 9.3694 | 4.0047 | 13.0526 | 4.9915 | 0.3029 | 14.7007 | 10.4022 | 18.1273 | 10.9836 | 0.7533 | 42.2118 | 32.2921 | 50.0582 | 33.7370 |
| 17000 | 0.3916 | 0.6043 | 9.6669 | 4.4535 | 13.7097 | 5.4603 | 0.3020 | 14.6692 | 10.3537 | 18.0318 | 10.9227 | 0.7495 | 41.5935 | 31.9892 | 49.3177 | 33.2683 |
| 18000 | 0.3801 | 0.6113 | 10.2023 | 4.4634 | 13.8889 | 5.4699 | 0.3018 | 14.6496 | 10.3509 | 18.1085 | 10.9501 | 0.7493 | 41.8037 | 32.1082 | 49.6131 | 33.3899 |
| 19000 | 0.3911 | 0.6281 | 9.9048 | 4.4486 | 13.7097 | 5.5037 | 0.3000 | 14.6471 | 10.4582 | 18.0505 | 11.0356 | 0.7500 | 42.3684 | 32.4992 | 50.2829 | 33.9090 |
| 20000 | 0.4000 | 0.6169 | 9.3694 | 4.1034 | 13.2915 | 5.1510 | 0.3027 | 14.5424 | 10.3978 | 17.9056 | 10.9631 | 0.7474 | 41.9603 | 32.3076 | 49.7712 | 33.5486 |
| 21000 | 0.3887 | 0.6214 | 9.3397 | 4.3450 | 13.0227 | 5.3491 | 0.3013 | 14.7092 | 10.4834 | 18.1537 | 11.0670 | 0.7455 | 41.9274 | 32.4389 | 49.5299 | 33.6591 |
| 22000 | 0.4062 | 0.6133 | 9.7858 | 4.4387 | 13.5305 | 5.4506 | 0.3024 | 14.7263 | 10.5176 | 18.1980 | 11.1049 | 0.7493 | 41.7089 | 31.9536 | 49.5299 | 33.2446 |
| 23000 | 0.4156 | 0.5867 | 9.5479 | 4.3549 | 13.2019 | 5.3926 | 0.3017 | 14.7246 | 10.5767 | 18.1358 | 11.1493 | 0.7478 | 41.7831 | 32.1577 | 49.6713 | 33.4337 |
| 24000 | 0.4056 | 0.5913 | 9.7264 | 4.4486 | 13.2915 | 5.4651 | 0.3000 | 14.7016 | 10.5556 | 18.1068 | 11.1303 | 0.7458 | 42.1335 | 32.2488 | 49.7213 | 33.4604 |
### Framework versions
- Transformers 4.31.0.dev0
- Datasets 2.13.0
- Tokenizers 0.13.3
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