---
language:
- en
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- UCLASS
metrics:
- wer
model-index:
- name: Whisper Small En - Sridhar Vanga
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: sridhar1ga/UCLASS
      type: UCLASS
      args: 'config: en'
    metrics:
    - name: Wer
      type: wer
      value: 41.49512459371614
---

<!-- 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 En - Sridhar Vanga

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the sridhar1ga/UCLASS dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0974
- Wer: 41.4951

## 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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch    | Step | Validation Loss | Wer     |
|:-------------:|:--------:|:----:|:---------------:|:-------:|
| 0.0513        | 18.5185  | 500  | 1.5771          | 61.3218 |
| 0.0056        | 37.0370  | 1000 | 1.8013          | 42.1452 |
| 0.0089        | 55.5556  | 1500 | 1.8905          | 65.0054 |
| 0.0054        | 74.0741  | 2000 | 1.7860          | 44.9621 |
| 0.0016        | 92.5926  | 2500 | 1.9571          | 41.9285 |
| 0.0001        | 111.1111 | 3000 | 2.0281          | 41.0618 |
| 0.0001        | 129.6296 | 3500 | 2.0595          | 41.9285 |
| 0.0001        | 148.1481 | 4000 | 2.0805          | 41.3868 |
| 0.0001        | 166.6667 | 4500 | 2.0927          | 41.4951 |
| 0.0001        | 185.1852 | 5000 | 2.0974          | 41.4951 |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1