---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: restaurant_HSR_test
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# restaurant_HSR_test

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3461
- Wer: 50.0

## 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   | 7.3374          | 133.3333 |
| No log        | 20.0  | 20   | 2.1528          | 33.3333  |
| 6.4843        | 30.0  | 30   | 1.4666          | 16.6667  |
| 6.4843        | 40.0  | 40   | 1.3461          | 50.0     |


### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.11.0+cu115
- Datasets 2.9.0
- Tokenizers 0.13.2