---
language:
- nep
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 base nepali - Pujan paudel
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common Voice 17.0
      type: mozilla-foundation/common_voice_17_0
      config: ne-NP
      split: None
      args: 'config: ne-NP, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 75.9915014164306
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper base nepali - Pujan paudel

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: 1.1173
- Wer: 75.9915

## 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: 2000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 0.039         | 16.1290 | 500  | 0.7968          | 77.1246 |
| 0.0014        | 32.2581 | 1000 | 1.0284          | 75.9207 |
| 0.0003        | 48.3871 | 1500 | 1.0966          | 75.8499 |
| 0.0003        | 64.5161 | 2000 | 1.1173          | 75.9915 |


### Framework versions

- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1