---
library_name: transformers
language:
- en
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- whisper-event
- generated_from_trainer
datasets:
- WillHeld/india_accent_cv
metrics:
- wer
model-index:
- name: Whisper tiny En - Hamna Ramzan
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: South_asian_accent
      type: WillHeld/india_accent_cv
    metrics:
    - name: Wer
      type: wer
      value: 16.416369438708468
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper tiny En - Hamna Ramzan

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the South_asian_accent dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3981
- Wer: 16.4164

## 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: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.4438        | 0.25   | 1000 | 0.5724          | 23.7751 |
| 0.3441        | 1.1425 | 2000 | 0.4521          | 18.5095 |
| 0.2427        | 2.035  | 3000 | 0.4335          | 18.0589 |
| 0.2993        | 2.285  | 4000 | 0.3981          | 16.4164 |


### Framework versions

- Transformers 4.52.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 3.5.2.dev0
- Tokenizers 0.21.1