---
base_model: vinai/PhoWhisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small2-vi
  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-small2-vi

This model is a fine-tuned version of [vinai/PhoWhisper-small](https://huggingface.co/vinai/PhoWhisper-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.3932
- Wer: 14.7083

## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 4.4978        | 0.016 | 10   | 6.7262          | 14.7083 |
| 4.2997        | 0.032 | 20   | 6.4491          | 14.7083 |
| 4.5058        | 0.048 | 30   | 6.0075          | 14.6948 |
| 3.9571        | 0.064 | 40   | 5.3437          | 14.7083 |
| 3.3732        | 0.08  | 50   | 4.3932          | 14.7083 |


### Framework versions

- Transformers 4.44.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1