---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
datasets:
- PolyAI/minds14
metrics:
- wer
model-index:
- name: whisper-tiny
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: PolyAI/minds14
      type: PolyAI/minds14
      config: en-US
      split: train
      args: en-US
    metrics:
    - name: Wer
      type: wer
      value: 0.31030228254164094
---

<!-- 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-tiny

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5900
- Wer Ortho: 0.3103
- Wer: 0.3103

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 500
- training_steps: 500

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer Ortho | Wer    |
|:-------------:|:-------:|:----:|:---------------:|:---------:|:------:|
| 1.7824        | 1.7857  | 50   | 1.0732          | 0.4565    | 0.4565 |
| 0.3528        | 3.5714  | 100  | 0.4932          | 0.3745    | 0.3745 |
| 0.1313        | 5.3571  | 150  | 0.5215          | 0.3430    | 0.3430 |
| 0.035         | 7.1429  | 200  | 0.5468          | 0.3387    | 0.3387 |
| 0.0103        | 8.9286  | 250  | 0.5900          | 0.3103    | 0.3103 |
| 0.0085        | 10.7143 | 300  | 0.6345          | 0.3307    | 0.3307 |
| 0.009         | 12.5    | 350  | 0.6771          | 0.3418    | 0.3418 |
| 0.0137        | 14.2857 | 400  | 0.6456          | 0.3374    | 0.3374 |
| 0.0138        | 16.0714 | 450  | 0.6171          | 0.3294    | 0.3294 |
| 0.0151        | 17.8571 | 500  | 0.7379          | 0.4312    | 0.4312 |


### Framework versions

- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0