---
language:
- ymr
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: leenag/Malasar_Dict
  results: []
---

<!-- 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. -->

# leenag/Malasar_Dict

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Spoken Bible Corpus: Malasar dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0136
- Wer: 6.4752

## 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: 16
- 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0424        | 0.64  | 250  | 0.0426          | 19.6509 |
| 0.0247        | 1.28  | 500  | 0.0276          | 12.7252 |
| 0.0184        | 1.92  | 750  | 0.0254          | 13.8514 |
| 0.0077        | 2.56  | 1000 | 0.0152          | 7.2072  |
| 0.005         | 3.21  | 1250 | 0.0139          | 6.9257  |
| 0.0032        | 3.85  | 1500 | 0.0149          | 6.9257  |
| 0.0025        | 4.49  | 1750 | 0.0145          | 6.7005  |
| 0.0009        | 5.13  | 2000 | 0.0136          | 6.4752  |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.15.0