---
language:
- 'no'
license: apache-2.0
tags:
- audio
- asr
- automatic-speech-recognition
- hf-asr-leaderboard
base_model: openai/whisper-small
model-index:
- name: scream_tertius_dropout_replicate_test7a
  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_tertius_dropout_replicate_test7a

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.
It achieves the following results on the evaluation set:
- step: 19999
- eval_loss: 1.1799
- train_loss: 0.3145
- eval_wer: 11.6626
- eval_cer: 5.8907

## 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
- dropout: True
- dropout_probability: 0.1

### Training results

| step  | eval_loss | train_loss | eval_wer | eval_cer |
|:-----:|:---------:|:----------:|:--------:|:--------:|
| 0     | 1.3582    | 7.9231     | 169.1230 | 127.5435 |
| 1000  | 0.9203    | 0.9748     | 24.0256  | 9.2618   |
| 2000  | 0.9951    | 0.6747     | 18.7576  | 7.4326   |
| 3000  | 1.1073    | 0.5495     | 16.7479  | 7.1000   |
| 4000  | 1.1093    | 0.4612     | 14.4336  | 6.4147   |
| 5000  | 1.1719    | 0.4326     | 14.1900  | 6.2837   |
| 6000  | 1.2627    | 0.3998     | 12.8197  | 5.9814   |
| 7000  | 1.2785    | 0.3765     | 12.7893  | 6.1476   |
| 8000  | 1.1395    | 0.3869     | 12.5152  | 6.0519   |
| 9000  | 1.2327    | 0.3616     | 12.7893  | 6.1829   |
| 10000 | 1.0855    | 0.3620     | 11.4495  | 5.6790   |
| 11000 | 1.1018    | 0.3453     | 11.7540  | 5.7848   |
| 12000 | 0.9953    | 0.3486     | 11.7235  | 5.7294   |
| 13000 | 1.1321    | 0.3365     | 12.0280  | 6.0015   |
| 14000 | 1.2654    | 0.3335     | 11.6322  | 5.8050   |
| 15000 | 1.2149    | 0.3061     | 11.8453  | 5.8503   |
| 16000 | 1.1539    | 0.3090     | 11.9367  | 5.8503   |
| 17000 | 1.2530    | 0.3103     | 11.7540  | 5.8251   |
| 18000 | 1.1925    | 0.3209     | 11.4799  | 5.6790   |
| 19000 | 1.2155    | 0.2931     | 11.7235  | 5.9562   |
| 19999 | 1.1799    | 0.3145     | 11.6626  | 5.8907   |


### Framework versions

- Transformers 4.29.0.dev0
- Datasets 2.12.0
- Tokenizers 0.13.3