---
library_name: peft
language:
- en
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_17_0
metrics:
- wer
model-index:
- name: Whisper Small English (1000 steps) - Jarrett Er
  results:
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: Common Voice 17.0
      type: mozilla-foundation/common_voice_17_0
      config: en
      split: train
      args: 'config: en, split: train'
    metrics:
    - type: wer
      value: 10.99832565927166
      name: Wer
---

<!-- 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 English (1000 steps) - Jarrett Er

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 17.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2214
- Wer: 10.9983

## 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: 16
- eval_batch_size: 8
- 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: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.2461        | 0.1   | 100  | 0.2450          | 11.8146 |
| 0.2253        | 0.2   | 200  | 0.2343          | 11.2599 |
| 0.2663        | 0.3   | 300  | 0.2287          | 11.2495 |
| 0.252         | 0.4   | 400  | 0.2241          | 11.0506 |
| 0.2301        | 0.5   | 500  | 0.2245          | 11.4064 |
| 0.1985        | 1.037 | 600  | 0.2208          | 11.0297 |
| 0.1768        | 1.137 | 700  | 0.2230          | 11.2181 |
| 0.1107        | 1.237 | 800  | 0.2226          | 11.0820 |
| 0.0819        | 1.337 | 900  | 0.2228          | 11.1134 |
| 0.185         | 1.437 | 1000 | 0.2214          | 10.9983 |


### Framework versions

- PEFT 0.14.0
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.2.1.dev0
- Tokenizers 0.21.0