---
language:
- 'no'
license: apache-2.0
tags:
- audio
- asr
- automatic-speech-recognition
- hf-asr-leaderboard
model-index:
- name: scream_non_large_3e06_beams5_v2
  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_non_large_3e06_beams5_v2

This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the NbAiLab/NCC_speech_all_v5 dataset.
It achieves the following results on the evaluation set:
- step: 29999
- eval_loss: 1.2308
- train_loss: 0.2858
- eval_wer: 10.3228
- eval_cer: 5.6236

## 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: 3e-06
- lr_scheduler_type: linear
- per_device_train_batch_size: 5
- total_train_batch_size_per_node: 20
- total_train_batch_size: 160
- total_optimization_steps: 30,000
- starting_optimization_step: None
- finishing_optimization_step: 30,000
- num_train_dataset_workers: 32
- numb_hosts: 8
- total_num_training_examples: 4,800,000
- steps_per_epoch: 8543
- num_beams: 5

### Training results

| step  | eval_loss | train_loss | eval_wer | eval_cer |
|:-----:|:---------:|:----------:|:--------:|:--------:|
| 0     | 2.0006    | 0.8864     | 15.7125  | 8.0675   |
| 5000  | 1.4781    | 0.3285     | 10.3532  | 5.0340   |
| 10000 | 1.2340    | 0.3277     | 10.8709  | 5.7596   |
| 15000 | 1.1556    | 0.3272     | 10.3837  | 5.3515   |
| 20000 | 1.2220    | 0.2775     | 10.2314  | 5.5026   |
| 25000 | 1.2454    | 0.2367     | 10.1705  | 5.4976   |
| 29999 | 1.2308    | 0.2858     | 10.3228  | 5.6236   |


### Framework versions

- Transformers 4.29.0.dev0
- Datasets 2.11.0
- Tokenizers 0.13.3