---
language:
- ks
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
datasets:
- muneebharoon/whisper-kashmiri
metrics:
- wer
model-index:
- name: Whisper Medium ks - Muneeb Haroon
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: whisper-kashmiri
      type: muneebharoon/whisper-kashmiri
      args: 'config: ks, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 42.32558139534884
---

<!-- 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 Medium ks - Muneeb Haroon

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the whisper-kashmiri dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2108
- Wer: 42.3256

## 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: 32
- 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: 10000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Wer     |
|:-------------:|:------:|:-----:|:---------------:|:-------:|
| 0.0024        | 71.43  | 1000  | 1.0586          | 44.0930 |
| 0.0002        | 142.86 | 2000  | 1.2108          | 42.3256 |
| 0.0001        | 214.29 | 3000  | 1.3416          | 42.5581 |
| 0.0           | 285.71 | 4000  | 1.4482          | 42.9302 |
| 0.0           | 357.14 | 5000  | 1.5533          | 42.9302 |
| 0.0           | 428.57 | 6000  | 1.6342          | 43.4884 |
| 0.0           | 500.0  | 7000  | 1.7142          | 43.1628 |
| 0.0           | 571.43 | 8000  | 1.7657          | 43.4419 |
| 0.0           | 642.86 | 9000  | 1.8178          | 43.5349 |
| 0.0           | 714.29 | 10000 | 1.8312          | 43.6744 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2