---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: small-tindy-aug-26dec
  results: []
language:
- km
pipeline_tag: automatic-speech-recognition
---

<!-- 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. -->

# small-tindy-aug-26dec

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2720
- Wer: 82.4497

## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 1000
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4654        | 1.0   | 272  | 1.2543          | 113.9215 |
| 1.0788        | 2.0   | 544  | 0.8559          | 105.8815 |
| 0.7043        | 3.0   | 816  | 0.5695          | 97.9140  |
| 0.5241        | 4.0   | 1088 | 0.4696          | 94.4734  |
| 0.4376        | 5.0   | 1360 | 0.4099          | 90.9894  |
| 0.3814        | 6.0   | 1632 | 0.3720          | 90.8953  |
| 0.3414        | 7.0   | 1904 | 0.3490          | 87.5489  |
| 0.3127        | 8.0   | 2176 | 0.3282          | 85.8395  |
| 0.29          | 9.0   | 2448 | 0.3132          | 85.5425  |
| 0.2691        | 10.0  | 2720 | 0.3018          | 84.6516  |
| 0.2525        | 11.0  | 2992 | 0.2949          | 84.6733  |
| 0.2365        | 12.0  | 3264 | 0.2878          | 85.1586  |
| 0.2235        | 13.0  | 3536 | 0.2787          | 82.1744  |
| 0.2117        | 14.0  | 3808 | 0.2770          | 81.7181  |
| 0.2004        | 15.0  | 4080 | 0.2720          | 82.4497  |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.0
- Datasets 3.2.0
- Tokenizers 0.20.3