---
language:
- ymr
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: leenag/Malasar_Luke_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_Luke_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: 0.0316
- Wer: 35.6110

## 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.1675        | 0.6083 | 250  | 0.0688          | 52.2824 |
| 0.0941        | 1.2165 | 500  | 0.0480          | 41.7635 |
| 0.0891        | 1.8248 | 750  | 0.0433          | 46.4417 |
| 0.0502        | 2.4331 | 1000 | 0.0403          | 40.0340 |
| 0.0606        | 3.0414 | 1250 | 0.0332          | 35.7244 |
| 0.0326        | 3.6496 | 1500 | 0.0318          | 34.3351 |
| 0.0159        | 4.2579 | 1750 | 0.0319          | 33.4562 |
| 0.0276        | 4.8662 | 2000 | 0.0316          | 35.6110 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.0.1+cu117
- Datasets 2.16.0
- Tokenizers 0.19.1