---
language:
- smj
license: apache-2.0
base_model: openai/whisper-large-v2
tags:
- audio
- asr
- automatic-speech-recognition
- hf-asr-leaderboard
model-index:
- name: salmon-whisper-large-smj-lr7e-5
  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. -->

# salmon-whisper-large-smj-lr7e-5

This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the NbAiLab/salmon-asr-smj 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: 7e-05
- lr_scheduler_type: linear
- per_device_train_batch_size: 6
- total_train_batch_size_per_node: 48
- total_train_batch_size: 48
- total_optimization_steps: 100,000
- starting_optimization_step: None
- finishing_optimization_step: 100,000
- num_train_dataset_workers: 32
- num_hosts: 1
- total_num_training_examples: 4,800,000
- steps_per_epoch: 385
- num_beams: None
- weight_decay: 0.01
- adam_beta1: 0.9
- adam_beta2: 0.98
- adam_epsilon: 1e-06
- dropout: True
- bpe_dropout_probability: 0.2
- activation_dropout_probability: 0.1

### Training results

| step  | validation_loss | train_loss | validation_wer | validation_cer | validation_exact_wer | validation_exact_cer |
|:-----:|:---------------:|:----------:|:--------------:|:--------------:|:--------------------:|:--------------------:|
| 0     | 4.2254          | 4.7016     | 112.7660       | 59.8700        | 108.1117             | 62.0594              |
| 10000 | 0.8352          | 0.3801     | 18.0851        | 5.5037         | 22.2074              | 6.0546               |
| 20000 | 1.1701          | 0.2580     | 15.2926        | 5.0569         | 17.8191              | 5.4770               |
| 30000 | 1.0861          | 0.2306     | 14.4947        | 4.6304         | 17.2872              | 4.9393               |
| 40000 | 1.0137          | 0.2168     | 14.2287        | 4.3461         | 16.7553              | 4.6206               |
| 50000 | 1.1032          | 0.2313     | 13.6968        | 3.8993         | 16.0904              | 4.1625               |
| 60000 | 1.2158          | 0.2121     | 13.6968        | 4.2648         | 16.0904              | 4.5808               |
| 70000 | 1.1595          | 0.2567     | 12.3670        | 3.7977         | 14.7606              | 4.1028               |
| 80000 | 1.1889          | 0.2420     | 12.5           | 4.0008         | 14.7606              | 4.2621               |
| 90000 | 1.1761          | 0.2039     | 12.6330        | 4.0211         | 14.8936              | 4.3218               |


### Framework versions

- Transformers 4.35.0
- Datasets 2.14.6
- Tokenizers 0.14.1