---
language:
- en
license: apache-2.0
base_model: Hanhpt23/whisper-tiny-smmmu
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Hanhpt23/whisper-tiny-smmmu
  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. -->

# Hanhpt23/whisper-tiny-smmmu

This model is a fine-tuned version of [Hanhpt23/whisper-tiny-smmmu](https://huggingface.co/Hanhpt23/whisper-tiny-smmmu) on the Hanhpt23/SLISA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0002
- Wer: 0.0

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.0873        | 1.0   | 30   | 0.0128          | 0.2480 |
| 0.0156        | 2.0   | 60   | 0.0052          | 3.2398 |
| 0.0062        | 3.0   | 90   | 0.0070          | 0.1705 |
| 0.0101        | 4.0   | 120  | 0.0349          | 2.4027 |
| 0.0251        | 5.0   | 150  | 0.0085          | 0.2325 |
| 0.0124        | 6.0   | 180  | 0.0091          | 0.1860 |
| 0.016         | 7.0   | 210  | 0.0031          | 0.0465 |
| 0.0039        | 8.0   | 240  | 0.0020          | 0.0465 |
| 0.0044        | 9.0   | 270  | 0.0003          | 0.0155 |
| 0.0003        | 10.0  | 300  | 0.0002          | 0.0    |


### Framework versions

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