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

# salmon-whisper-medium-smj

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the NbAiLab/salmon-asr-smj dataset.
It achieves the following results on the evaluation set:
- step: 9999
- validation_loss: 1.4491
- train_loss: 0.2105
- validation_wer: 15.6915
- validation_cer: 4.6710
- validation_exact_wer: 18.0851
- validation_exact_cer: 4.9990

## 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: 2.5e-05
- lr_scheduler_type: linear
- per_device_train_batch_size: 8
- total_train_batch_size_per_node: 64
- total_train_batch_size: 64
- 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: 640,000
- steps_per_epoch: 287
- 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    | 6.7175          | 4.8002     | 101.9947       | 49.5329        | 103.4574             | 50.6274              |
| 1000 | 1.8389          | 0.4886     | 22.2074        | 6.0723         | 26.1968              | 6.6321               |
| 2000 | 1.2170          | 0.2845     | 18.75          | 5.6661         | 22.8723              | 6.1741               |
| 3000 | 1.3422          | 0.3153     | 15.5585        | 4.7116         | 18.0851              | 5.0588               |
| 4000 | 1.2924          | 0.2716     | 16.4894        | 5.1178         | 20.7447              | 5.7558               |
| 5000 | 1.4563          | 0.2408     | 17.1543        | 5.1381         | 20.0798              | 5.5567               |
| 6000 | 1.4318          | 0.2653     | 16.2234        | 4.9147         | 19.4149              | 5.3774               |
| 7000 | 1.2483          | 0.2359     | 15.2926        | 4.8335         | 18.6170              | 5.2579               |
| 8000 | 1.4402          | 0.2701     | 15.4255        | 4.5695         | 18.2181              | 4.9592               |
| 9000 | 1.5363          | 0.2244     | 15.5585        | 4.6304         | 18.3511              | 5.0189               |
| 9999 | 1.4491          | 0.2105     | 15.6915        | 4.6710         | 18.0851              | 4.9990               |


### Framework versions

- Transformers 4.35.0.dev0
- Datasets 2.14.6
- Tokenizers 0.14.1