|
--- |
|
language: |
|
- 'no' |
|
license: apache-2.0 |
|
tags: |
|
- audio |
|
- asr |
|
- automatic-speech-recognition |
|
- hf-asr-leaderboard |
|
base_model: openai/whisper-medium |
|
model-index: |
|
- name: scream_medium_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_medium_beta |
|
|
|
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the NbAiLab/ncc_speech dataset. |
|
It achieves the following results on the evaluation set: |
|
- step: 24999 |
|
- validation_fleurs_loss: 1.4171 |
|
- train_loss: 0.5400 |
|
- validation_fleurs_wer: 8.8638 |
|
- validation_fleurs_cer: 3.8370 |
|
- validation_fleurs_exact_wer: 14.1278 |
|
- validation_fleurs_exact_cer: 5.1993 |
|
- validation_stortinget_loss: 0.3369 |
|
- validation_stortinget_wer: 14.2120 |
|
- validation_stortinget_cer: 10.2972 |
|
- validation_stortinget_exact_wer: 17.4640 |
|
- validation_stortinget_exact_cer: 10.8352 |
|
- validation_nrk_tv_loss: 0.8259 |
|
- validation_nrk_tv_wer: 39.9035 |
|
- validation_nrk_tv_cer: 31.1762 |
|
- validation_nrk_tv_exact_wer: 47.4289 |
|
- validation_nrk_tv_exact_cer: 32.3674 |
|
|
|
## 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: 2.5e-05 |
|
- lr_scheduler_type: linear |
|
- per_device_train_batch_size: 16 |
|
- total_train_batch_size_per_node: 64 |
|
- 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: 16 |
|
- total_num_training_examples: 25,600,000 |
|
- steps_per_epoch: 6271 |
|
- 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 | 3.6595 | 2.4764 | 17.4301 | 5.4794 | 21.6249 | 6.3977 | 1.3465 | 33.9515 | 19.1377 | 38.4072 | 20.3275 | 1.8386 | 66.2133 | 48.0904 | 75.6490 | 49.8313 | |
|
| 5000 | 1.2828 | 0.6841 | 8.8638 | 3.8864 | 13.2318 | 4.9529 | 0.3311 | 14.5798 | 10.4664 | 17.7786 | 11.0119 | 0.8229 | 41.0824 | 31.7759 | 48.7519 | 33.0088 | |
|
| 10000 | 1.1134 | 0.6019 | 8.3284 | 3.6990 | 13.1123 | 4.9287 | 0.3132 | 14.0485 | 10.1394 | 17.2099 | 10.6785 | 0.7856 | 39.0957 | 30.3740 | 46.7798 | 31.5896 | |
|
| 15000 | 1.1605 | 0.5821 | 8.5068 | 3.7631 | 13.5603 | 5.0157 | 0.3181 | 13.7633 | 10.0236 | 16.9465 | 10.5585 | 0.7864 | 39.4419 | 30.9142 | 46.7507 | 32.1012 | |
|
| 20000 | 1.0986 | 0.5395 | 8.7448 | 3.9456 | 14.4863 | 5.3733 | 0.3226 | 14.2469 | 10.3402 | 17.4640 | 10.8776 | 0.7884 | 39.8129 | 31.0325 | 47.3332 | 32.2280 | |
|
|
|
### Framework versions |
|
|
|
- Transformers 4.31.0.dev0 |
|
- Datasets 2.13.0 |
|
- Tokenizers 0.13.3 |
|
|
