---
language:
- et
license: apache-2.0
base_model: openai/whisper-small
tags:
- audio
- asr
- automatic-speech-recognition
- hf-asr-leaderboard
model-index:
- name: whisper-small-smj
  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. -->

# whisper-small-smj

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) 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: 32
- total_train_batch_size_per_node: 256
- total_train_batch_size: 256
- total_optimization_steps: 10,000
- starting_optimization_step: None
- finishing_optimization_step: 10,000
- num_train_dataset_workers: 32
- num_hosts: 1
- total_num_training_examples: 2,560,000
- steps_per_epoch: _To be computed after first epoch_
- 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    | 3.4458          | 4.7979     | 205.7181       | 94.0902        | 150.2660             | 95.4591              |


### Framework versions

- Transformers 4.34.1
- Datasets 2.14.5
- Tokenizers 0.14.1