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

# openai/whisper-tiny

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Hanhpt23/SMMMU dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5068
- Wer: 16.9043

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| No log        | 1.0   | 14   | 1.0476          | 17.5967 |
| 1.1834        | 2.0   | 28   | 0.6758          | 19.3686 |
| 1.1834        | 3.0   | 42   | 0.5599          | 20.5458 |
| 0.3274        | 4.0   | 56   | 0.4398          | 13.8208 |
| 0.3274        | 5.0   | 70   | 0.4560          | 24.6558 |
| 0.0781        | 6.0   | 84   | 0.5055          | 21.6456 |
| 0.0781        | 7.0   | 98   | 0.5160          | 33.9348 |
| 0.0947        | 8.0   | 112  | 0.5665          | 19.8289 |
| 0.0674        | 9.0   | 126  | 0.5255          | 17.9878 |
| 0.0674        | 10.0  | 140  | 0.5068          | 16.9043 |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1