---
language:
- co
license: apache-2.0
base_model: ntviet/whisper-small-co
tags:
- generated_from_trainer
datasets:
- ntviet/Co-audio-dataset2
model-index:
- name: Whisper Small Co 2.4
  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 Small Co 2.4

This model is a fine-tuned version of [ntviet/whisper-small-co](https://huggingface.co/ntviet/whisper-small-co) on the Co audio dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6385
- Cer Ortho: 29.7710
- Cer: 29.1560

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 300
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Cer Ortho | Cer     |
|:-------------:|:-------:|:----:|:---------------:|:---------:|:-------:|
| 0.0           | 42.8571 | 300  | 0.6385          | 29.7710   | 29.1560 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1