---
license: apache-2.0
tags:
- hf-asr-leaderboard
- automatic-speech-recognition
- NbAiLab/NST
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-NST-cons2e5
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# whisper-NST-cons2e5

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the NBAILAB/NST - NO-CLOSE dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3521
- Wer: 11.8586

## 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
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 500
- training_steps: 10000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.2517        | 0.1   | 1000  | 0.4131          | 18.4721 |
| 0.1931        | 0.2   | 2000  | 0.3531          | 19.0422 |
| 0.1598        | 0.3   | 3000  | 0.3605          | 16.8757 |
| 0.1541        | 0.4   | 4000  | 0.3367          | 14.4812 |
| 0.1443        | 0.5   | 5000  | 0.3274          | 13.3409 |
| 0.1301        | 0.6   | 6000  | 0.3481          | 10.7184 |
| 0.1266        | 0.7   | 7000  | 0.3452          | 12.9989 |
| 0.1216        | 0.8   | 8000  | 0.3215          | 10.8324 |
| 0.1121        | 0.9   | 9000  | 0.3160          | 11.5165 |
| 0.1171        | 1.0   | 10000 | 0.3521          | 11.8586 |


### Framework versions

- Transformers 4.25.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.6.1
- Tokenizers 0.13.1