---
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Mal_ASR_Whisper_small_imasc_1000
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Mal_ASR_Whisper_small_imasc_1000

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0642
- Wer: 52.2853

## 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      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3098        | 0.74  | 200  | 0.2613          | 200.6810 |
| 0.1009        | 1.48  | 400  | 0.0988          | 54.5952  |
| 0.0559        | 2.22  | 600  | 0.0722          | 44.6184  |
| 0.0518        | 2.96  | 800  | 0.0608          | 39.1631  |
| 0.0285        | 3.7   | 1000 | 0.0573          | 46.0858  |
| 0.0166        | 4.44  | 1200 | 0.0567          | 46.7036  |
| 0.0082        | 5.19  | 1400 | 0.0589          | 50.9513  |
| 0.0075        | 5.93  | 1600 | 0.0590          | 65.6252  |
| 0.0031        | 6.67  | 1800 | 0.0629          | 57.2913  |
| 0.0018        | 7.41  | 2000 | 0.0642          | 52.2853  |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.14.0