---
license: apache-2.0
base_model: openai/whisper-tiny.en
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper3
  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. -->

# whisper3

This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the tiny dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5509
- Wer: 26.9488

## 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: 0.0001
- train_batch_size: 128
- 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: 500
- training_steps: 300

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 3.8281        | 0.2778 | 10   | 3.7929          | 80.4009 |
| 3.209         | 0.5556 | 20   | 3.0014          | 68.3742 |
| 2.1066        | 0.8333 | 30   | 1.7613          | 63.9198 |
| 0.9963        | 1.1111 | 40   | 0.8741          | 52.4340 |
| 0.6922        | 1.3889 | 50   | 0.7009          | 35.8256 |
| 0.5816        | 1.6667 | 60   | 0.6238          | 31.1486 |
| 0.5684        | 1.9444 | 70   | 0.5698          | 35.4757 |
| 0.427         | 2.2222 | 80   | 0.5380          | 27.2669 |
| 0.4395        | 2.5    | 90   | 0.5162          | 32.7394 |
| 0.3861        | 2.7778 | 100  | 0.4953          | 24.5307 |
| 0.3745        | 3.0556 | 110  | 0.4837          | 24.6262 |
| 0.2487        | 3.3333 | 120  | 0.4733          | 23.5762 |
| 0.2343        | 3.6111 | 130  | 0.4652          | 24.9443 |
| 0.2429        | 3.8889 | 140  | 0.4581          | 24.0853 |
| 0.1286        | 4.1667 | 150  | 0.4673          | 24.2762 |
| 0.1304        | 4.4444 | 160  | 0.4698          | 31.7213 |
| 0.1361        | 4.7222 | 170  | 0.4690          | 33.0894 |
| 0.1447        | 5.0    | 180  | 0.4812          | 24.6580 |
| 0.0617        | 5.2778 | 190  | 0.4871          | 29.9395 |
| 0.0617        | 5.5556 | 200  | 0.4884          | 24.8489 |
| 0.0577        | 5.8333 | 210  | 0.4998          | 26.8533 |
| 0.038         | 6.1111 | 220  | 0.5007          | 24.8489 |
| 0.0269        | 6.3889 | 230  | 0.5123          | 27.1397 |
| 0.0321        | 6.6667 | 240  | 0.5005          | 23.3535 |
| 0.0296        | 6.9444 | 250  | 0.5332          | 31.8804 |
| 0.0207        | 7.2222 | 260  | 0.5237          | 30.0668 |
| 0.0215        | 7.5    | 270  | 0.5223          | 25.5488 |
| 0.0198        | 7.7778 | 280  | 0.5157          | 30.1941 |
| 0.0273        | 8.0556 | 290  | 0.5290          | 27.5533 |
| 0.0197        | 8.3333 | 300  | 0.5509          | 26.9488 |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1.dev0
- Tokenizers 0.19.1