---
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 (1000 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 (1000 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: 0.2060
- Wer: 9.5998

## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 1.3689        | 0.2008 | 50   | 1.0720          | 62.3310 |
| 0.6001        | 0.4016 | 100  | 0.5734          | 27.9340 |
| 0.5761        | 0.6024 | 150  | 0.5917          | 19.3889 |
| 0.5189        | 0.8032 | 200  | 0.5905          | 20.2271 |
| 0.5282        | 1.0040 | 250  | 0.5710          | 19.7134 |
| 0.3914        | 1.2048 | 300  | 0.5133          | 18.0097 |
| 0.369         | 1.4056 | 350  | 0.4591          | 18.4694 |
| 0.3881        | 1.6064 | 400  | 0.4335          | 16.4684 |
| 0.3504        | 1.8072 | 450  | 0.3882          | 16.5765 |
| 0.339         | 2.0080 | 500  | 0.3516          | 14.6566 |
| 0.2437        | 2.2088 | 550  | 0.3359          | 13.7642 |
| 0.2482        | 2.4096 | 600  | 0.3126          | 13.1963 |
| 0.2327        | 2.6104 | 650  | 0.2898          | 12.7907 |
| 0.2041        | 2.8112 | 700  | 0.2685          | 11.7631 |
| 0.1824        | 3.0120 | 750  | 0.2538          | 10.9789 |
| 0.1457        | 3.2129 | 800  | 0.2479          | 10.5733 |
| 0.1617        | 3.4137 | 850  | 0.2304          | 10.9248 |
| 0.1571        | 3.6145 | 900  | 0.2167          | 9.5457  |
| 0.1564        | 3.8153 | 950  | 0.2087          | 9.3835  |
| 0.1503        | 4.0161 | 1000 | 0.2060          | 9.5998  |


### Framework versions

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