---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-khmer
  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. -->

# whisper-tiny-khmer

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: 2.4574
- Wer: 1.4939

## 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: 6.25e-06
- 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: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 0.0   | 1    | 3.0351          | 1.4989 |
| 3.6663        | 0.01  | 2    | 2.8513          | 1.5283 |
| 3.6663        | 0.01  | 3    | 2.6387          | 1.4964 |
| 3.6138        | 0.01  | 4    | 2.5656          | 1.5394 |
| 3.6138        | 0.01  | 5    | 2.5272          | 1.5169 |
| 3.1887        | 0.02  | 6    | 2.4940          | 1.5016 |
| 3.1887        | 0.02  | 7    | 2.4701          | 1.4778 |
| 3.052         | 0.02  | 8    | 2.4574          | 1.4939 |


### Framework versions

- Transformers 4.35.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.6.dev0
- Tokenizers 0.14.1