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

This model is a fine-tuned version of [Hanhpt23/whisper-tiny-slisa](https://huggingface.co/Hanhpt23/whisper-tiny-slisa) on the Hanhpt23/Silvar dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1569
- Wer: 5.4567

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.0875        | 1.0   | 113  | 0.0998          | 3.5843 |
| 0.0458        | 2.0   | 226  | 0.1395          | 5.3098 |
| 0.0142        | 3.0   | 339  | 0.1570          | 6.6358 |
| 0.0182        | 4.0   | 452  | 0.1750          | 6.5465 |
| 0.0213        | 5.0   | 565  | 0.1586          | 6.1090 |
| 0.0027        | 6.0   | 678  | 0.1691          | 5.8729 |
| 0.0006        | 7.0   | 791  | 0.1623          | 5.7367 |
| 0.0004        | 8.0   | 904  | 0.1578          | 5.1751 |
| 0.0003        | 9.0   | 1017 | 0.1570          | 5.4733 |
| 0.0002        | 10.0  | 1130 | 0.1569          | 5.4567 |


### Framework versions

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