README.md

---
license: apache-2.0
base_model: edmundchan70/Cantonese_finetune_whisper
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: model_output
  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. -->

# model_output

This model is a fine-tuned version of [edmundchan70/Cantonese_finetune_whisper](https://huggingface.co/edmundchan70/Cantonese_finetune_whisper) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1941
- Wer: 30.7448

## 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: 1.25e-05
- train_batch_size: 16
- 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_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| No log        | 1.0   | 156  | 0.1469          | 22.1870 |
| No log        | 2.0   | 312  | 0.1667          | 27.2583 |
| No log        | 3.0   | 468  | 0.1770          | 27.7338 |
| 0.0778        | 4.0   | 624  | 0.1847          | 29.7940 |
| 0.0778        | 5.0   | 780  | 0.1970          | 30.4279 |
| 0.0778        | 6.0   | 936  | 0.1845          | 29.7940 |
| 0.0083        | 7.0   | 1092 | 0.1922          | 30.2694 |
| 0.0083        | 8.0   | 1248 | 0.1926          | 29.6355 |
| 0.0083        | 9.0   | 1404 | 0.1932          | 30.1109 |
| 0.0009        | 10.0  | 1560 | 0.1941          | 30.7448 |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1