---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-en
  results: []
datasets:
- PolyAI/minds14
pipeline_tag: automatic-speech-recognition
---

<!-- 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-en

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: 0.5603
- Wer Ortho: 0.2844
- Wer: 0.2910

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 2225
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
| 0.5396        | 1.0   | 445  | 0.4247          | 0.3387    | 0.3394 |
| 0.2289        | 2.0   | 890  | 0.4628          | 0.2961    | 0.3017 |
| 0.1448        | 3.0   | 1335 | 0.4680          | 0.2819    | 0.2869 |
| 0.0405        | 4.0   | 1780 | 0.5402          | 0.3029    | 0.3052 |
| 0.0092        | 5.0   | 2225 | 0.5603          | 0.2844    | 0.2910 |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.1.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1