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---
base_model: openai/whisper-small
datasets:
- ademax/vivos-vie-speech2text
language:
- hi
license: apache-2.0
metrics:
- wer
tags:
- generated_from_trainer
model-index:
- name: Whisper Small Vie - VIVOS
results:
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: VIVOS Vietnamese Speech to Text
type: ademax/vivos-vie-speech2text
args: 'config: hi, split: test'
metrics:
- type: wer
value: 14.529509362408152
name: Wer
---
<!-- 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 Small Vie - VIVOS
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the VIVOS Vietnamese Speech to Text dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2750
- Wer: 14.5295
## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.1775 | 0.3503 | 1000 | 0.3448 | 18.3693 |
| 0.2924 | 0.7005 | 2000 | 0.3088 | 17.1921 |
| 0.1059 | 1.0508 | 3000 | 0.2896 | 15.4776 |
| 0.1182 | 1.4011 | 4000 | 0.2889 | 15.5408 |
| 0.1089 | 1.7513 | 5000 | 0.2750 | 14.5295 |
### Framework versions
- Transformers 4.42.4
- Pytorch 2.2.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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