---
language:
- et
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-lr5e-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-lr5e-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: 5e-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: 60,000
- starting_optimization_step: 40,000
- finishing_optimization_step: 100,000
- num_train_dataset_workers: 32
- num_hosts: 1
- total_num_training_examples: 4,800,000
- steps_per_epoch: 1169
- 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          | 4.6413     | 112.7660       | 59.8700        | 108.1117             | 62.0594              |
| 10000 | 0.8720          | 0.3747     | 18.2181        | 5.2803         | 21.4096              | 5.6762               |
| 20000 | 1.1365          | 0.2741     | 15.2926        | 4.6304         | 18.0851              | 5.0588               |
| 30000 | 1.2561          | 0.2111     | 14.6277        | 4.0617         | 17.9521              | 4.5011               |
| 40000 | 33.1032         | 10.4733    | 100.0          | 100.0          | 100.0                | 98.0681              |
| 50000 | 3.0192          | 2.5972     | 100.7979       | 80.9301        | 101.3298             | 79.8447              |
| 60000 | 2.7909          | 2.0728     | 99.6011        | 79.8944        | 100.5319             | 78.8688              |


### Framework versions

- Transformers 4.35.0
- Datasets 2.14.6
- Tokenizers 0.14.1