transformers tensorboard safetensors whisper automatic-speech-recognition VHM20191956-SpeechToText generated_from_trainer vi base_model:openai/whisper-small license:apache-2.0 endpoints_compatible region:us
---
language:
- vi
license: apache-2.0
base_model: openai/whisper-small
tags:
- VHM20191956-SpeechToText
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Vietnamese Vu Hoang Manh
  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 Vietnamese Vu Hoang Manh

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Vietnamese ASR dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0549
- Wer: 8.9064

## 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: 0.0003
- 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_steps: 50
- training_steps: 5250
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1693        | 1.0   | 105  | 0.1621          | 224.6900 |
| 0.1317        | 2.0   | 210  | 0.0764          | 26.2683  |
| 0.0868        | 3.0   | 315  | 0.1650          | 26.3247  |
| 0.0645        | 4.0   | 420  | 0.0592          | 43.7993  |
| 0.0578        | 5.0   | 525  | 0.0755          | 41.0372  |
| 0.0342        | 6.0   | 630  | 0.0640          | 29.2559  |
| 0.0325        | 7.0   | 735  | 0.0514          | 13.1342  |
| 0.0397        | 8.0   | 840  | 0.0587          | 37.8241  |
| 0.0307        | 9.0   | 945  | 0.0628          | 32.1308  |
| 0.0215        | 10.0  | 1050 | 0.0742          | 23.8444  |
| 0.0268        | 11.0  | 1155 | 0.0710          | 35.6257  |
| 0.009         | 12.0  | 1260 | 0.0539          | 11.9504  |
| 0.0084        | 13.0  | 1365 | 0.0705          | 16.2345  |
| 0.0158        | 14.0  | 1470 | 0.0489          | 20.6877  |
| 0.0122        | 15.0  | 1575 | 0.0582          | 10.3720  |
| 0.0139        | 16.0  | 1680 | 0.0620          | 17.1928  |
| 0.0121        | 17.0  | 1785 | 0.0734          | 16.0654  |
| 0.0055        | 18.0  | 1890 | 0.0719          | 32.6381  |
| 0.0044        | 19.0  | 1995 | 0.0614          | 83.5964  |
| 0.0083        | 20.0  | 2100 | 0.0930          | 22.3224  |
| 0.0081        | 21.0  | 2205 | 0.0872          | 14.2616  |
| 0.0112        | 22.0  | 2310 | 0.0417          | 17.4183  |
| 0.0076        | 23.0  | 2415 | 0.0698          | 13.6979  |
| 0.0043        | 24.0  | 2520 | 0.0428          | 9.1319   |
| 0.0005        | 25.0  | 2625 | 0.0466          | 9.5829   |
| 0.0002        | 26.0  | 2730 | 0.0597          | 11.2176  |
| 0.0           | 27.0  | 2835 | 0.0527          | 10.0338  |
| 0.0           | 28.0  | 2940 | 0.0521          | 9.4138   |
| 0.0           | 29.0  | 3045 | 0.0523          | 9.4138   |
| 0.0           | 30.0  | 3150 | 0.0526          | 9.3574   |
| 0.0           | 31.0  | 3255 | 0.0527          | 9.4138   |
| 0.0           | 32.0  | 3360 | 0.0529          | 9.3574   |
| 0.0           | 33.0  | 3465 | 0.0531          | 9.3010   |
| 0.0           | 34.0  | 3570 | 0.0533          | 9.2446   |
| 0.0           | 35.0  | 3675 | 0.0535          | 9.1883   |
| 0.0           | 36.0  | 3780 | 0.0537          | 9.1319   |
| 0.0           | 37.0  | 3885 | 0.0538          | 9.0755   |
| 0.0           | 38.0  | 3990 | 0.0540          | 9.0192   |
| 0.0           | 39.0  | 4095 | 0.0541          | 9.0192   |
| 0.0           | 40.0  | 4200 | 0.0542          | 9.0192   |
| 0.0           | 41.0  | 4305 | 0.0543          | 9.0192   |
| 0.0           | 42.0  | 4410 | 0.0544          | 9.0192   |
| 0.0           | 43.0  | 4515 | 0.0545          | 8.9064   |
| 0.0           | 44.0  | 4620 | 0.0546          | 8.9064   |
| 0.0           | 45.0  | 4725 | 0.0547          | 8.9064   |
| 0.0           | 46.0  | 4830 | 0.0548          | 8.9064   |
| 0.0           | 47.0  | 4935 | 0.0549          | 8.9064   |
| 0.0           | 48.0  | 5040 | 0.0549          | 8.9064   |
| 0.0           | 49.0  | 5145 | 0.0549          | 8.7937   |
| 0.0           | 50.0  | 5250 | 0.0549          | 8.9064   |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
