---
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
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# 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: 0.3612
- Wer: 12.4283

## 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: 0.00025
- 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: 50
- training_steps: 500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.806         | 0.3802 | 100  | 0.7674          | 22.7887 |
| 0.6965        | 0.7605 | 200  | 0.6955          | 20.0655 |
| 0.42          | 1.1407 | 300  | 0.5785          | 17.7723 |
| 0.402         | 1.5209 | 400  | 0.4303          | 14.3939 |
| 0.3231        | 1.9011 | 500  | 0.3612          | 12.4283 |


### Framework versions

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