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---
language:
- 'no'
license: apache-2.0
tags:
- audio
- asr
- automatic-speech-recognition
- hf-asr-leaderboard
model-index:
- name: scream_duo_dropout_bpe_dropout
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_duo_dropout_bpe_dropout
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the NbAiLab/NCC_speech_all_v5 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: 2e-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: 20,000
- starting_optimization_step: None
- finishing_optimization_step: 20,000
- num_train_dataset_workers: 32
- num_hosts: 8
- total_num_training_examples: 20,480,000
- steps_per_epoch: 1314
- num_beams: 5
### Training results
| step | eval_loss | train_loss | eval_wer | eval_cer |
|:-----:|:---------:|:----------:|:--------:|:--------:|
| 0 | 4.2078 | 2.2707 | 169.1230 | 127.5435 |
| 1000 | 3.2725 | 0.8044 | 18.8490 | 7.9113 |
| 2000 | 2.8829 | 0.7114 | 12.7893 | 5.2205 |
| 3000 | 2.5190 | 0.6461 | 11.6931 | 5.1247 |
| 4000 | 2.5935 | 0.5883 | 10.8100 | 4.8325 |
| 5000 | 2.3213 | 0.5753 | 10.7186 | 4.8677 |
| 6000 | 3.2012 | 0.5495 | 10.6273 | 5.0491 |
| 7000 | 2.9775 | 0.5279 | 10.8100 | 5.0441 |
| 8000 | 3.1645 | 0.5412 | 9.9574 | 4.8929 |
| 9000 | 2.9499 | 0.5191 | 11.0840 | 7.1504 |
| 10000 | 3.7657 | 0.5215 | 10.5968 | 5.0189 |
| 11000 | 3.7694 | 0.5086 | 9.9574 | 4.8375 |
| 12000 | 3.9640 | 0.5121 | 10.3228 | 4.9685 |
| 13000 | 4.2364 | 0.4982 | 10.3532 | 5.0088 |
| 14000 | 4.5940 | 0.4908 | 9.9574 | 4.8627 |
| 15000 | 4.7101 | 0.4696 | 10.1401 | 5.0239 |
| 16000 | 4.7501 | 0.4680 | 9.8965 | 4.7317 |
| 17000 | 4.9145 | 0.4751 | 10.0792 | 5.0239 |
### Framework versions
- Transformers 4.29.0.dev0
- Datasets 2.12.0
- Tokenizers 0.13.3
|