---
library_name: transformers
language:
- en
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Small
  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

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Personal - Mimic Recording dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1889
- Wer: 0.0811

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.6843        | 1.0   | 74   | 0.3695          | 0.1695 |
| 0.2675        | 2.0   | 148  | 0.2706          | 0.1350 |
| 0.1288        | 3.0   | 222  | 0.2188          | 0.1038 |
| 0.0443        | 4.0   | 296  | 0.1949          | 0.0983 |
| 0.0165        | 5.0   | 370  | 0.1943          | 0.0898 |
| 0.0129        | 6.0   | 444  | 0.2140          | 0.0932 |
| 0.0111        | 7.0   | 518  | 0.1999          | 0.0898 |
| 0.0069        | 8.0   | 592  | 0.1927          | 0.0922 |
| 0.0038        | 9.0   | 666  | 0.1904          | 0.0758 |
| 0.0021        | 10.0  | 740  | 0.1889          | 0.0811 |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0