---
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-noisy-hi
  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-small-noisy-hi

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: 1.5460
- Wer: 74.5720

## 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: 48
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 3000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.5752        | 0.46  | 50   | 2.2665          | 120.7418 |
| 1.6855        | 0.92  | 100  | 1.6174          | 92.1494  |
| 1.4464        | 1.38  | 150  | 1.4430          | 92.0543  |
| 1.3211        | 1.83  | 200  | 1.3179          | 88.5094  |
| 1.1732        | 2.29  | 250  | 1.2025          | 86.2182  |
| 1.0507        | 2.75  | 300  | 1.0736          | 83.7628  |
| 0.8575        | 3.21  | 350  | 0.9902          | 80.8404  |
| 0.8096        | 3.67  | 400  | 0.9516          | 80.1833  |
| 0.7257        | 4.13  | 450  | 0.9286          | 78.7740  |
| 0.6689        | 4.59  | 500  | 0.9091          | 77.0621  |
| 0.6331        | 5.05  | 550  | 0.9014          | 76.5087  |
| 0.5123        | 5.5   | 600  | 0.9030          | 74.3213  |
| 0.505         | 5.96  | 650  | 0.8833          | 76.0851  |
| 0.3716        | 6.42  | 700  | 0.9274          | 75.5144  |
| 0.3759        | 6.88  | 750  | 0.9227          | 74.1657  |
| 0.2658        | 7.34  | 800  | 0.9754          | 77.3993  |
| 0.2624        | 7.8   | 850  | 0.9800          | 74.9784  |
| 0.1755        | 8.26  | 900  | 1.0364          | 74.5807  |
| 0.1771        | 8.72  | 950  | 1.0549          | 76.0678  |
| 0.1239        | 9.17  | 1000 | 1.1081          | 74.8314  |
| 0.112         | 9.63  | 1050 | 1.1373          | 74.9524  |
| 0.0942        | 10.09 | 1100 | 1.1697          | 75.2205  |
| 0.0691        | 10.55 | 1150 | 1.2068          | 76.6384  |
| 0.0659        | 11.01 | 1200 | 1.2280          | 75.6095  |
| 0.0417        | 11.47 | 1250 | 1.2840          | 74.9697  |
| 0.0416        | 11.93 | 1300 | 1.3025          | 75.9035  |
| 0.025         | 12.39 | 1350 | 1.3342          | 76.1110  |
| 0.0258        | 12.84 | 1400 | 1.3580          | 74.9438  |
| 0.0182        | 13.3  | 1450 | 1.4077          | 75.9467  |
| 0.0154        | 13.76 | 1500 | 1.4214          | 75.1167  |
| 0.0131        | 14.22 | 1550 | 1.4525          | 74.8660  |
| 0.0119        | 14.68 | 1600 | 1.4903          | 74.7709  |
| 0.011         | 15.14 | 1650 | 1.5147          | 75.0476  |
| 0.0079        | 15.6  | 1700 | 1.5375          | 75.9727  |
| 0.0087        | 16.06 | 1750 | 1.5460          | 74.5720  |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 1.12.1
- Datasets 2.16.1
- Tokenizers 0.15.0