---
language:
- en
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- figfig/restaurant_order_local_test
metrics:
- wer
model-index:
- name: restaurant_local_test_model
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: local_test_data
      type: figfig/restaurant_order_local_test
      args: 'config: en, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 78.57142857142857
---

<!-- 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. -->

# restaurant_local_test_model

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the local_test_data dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5435
- Wer: 78.5714

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 40
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| No log        | 10.0  | 10   | 2.2425          | 7.1429  |
| No log        | 20.0  | 20   | 0.6651          | 0.0     |
| 2.4375        | 30.0  | 30   | 0.5776          | 35.7143 |
| 2.4375        | 40.0  | 40   | 0.5435          | 78.5714 |


### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2