---
library_name: peft
language:
- en
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper small NSC part 1,2,3 (500 steps) - Jarrett Er
  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 NSC part 1,2,3 (500 steps) - Jarrett Er

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2905
- Wer: 48.0

## 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: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 3.0118        | 9.01  | 50   | 1.7796          | 352.0   |
| 0.2479        | 19.01 | 100  | 0.3092          | 56.0000 |
| 0.0047        | 29.01 | 150  | 0.2667          | 54.0    |
| 0.0005        | 39.01 | 200  | 0.2630          | 44.0    |
| 0.0002        | 49.01 | 250  | 0.2685          | 50.0    |
| 0.0001        | 59.01 | 300  | 0.2749          | 50.0    |
| 0.0001        | 69.01 | 350  | 0.2836          | 50.0    |
| 0.0001        | 79.01 | 400  | 0.2892          | 50.0    |
| 0.0001        | 89.01 | 450  | 0.2894          | 48.0    |
| 0.0001        | 99.01 | 500  | 0.2905          | 48.0    |


### Framework versions

- PEFT 0.14.0
- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.1.dev0
- Tokenizers 0.20.3