---
library_name: transformers
language:
- co
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- ntviet/Co-audio-dataset4.2
model-index:
- name: Whisper Small Co 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 4

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Co audio dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0259
- Cer Ortho: 0.0097
- Cer: 1.6949

## 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: 600
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Cer Ortho | Cer    |
|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|
| 0.0379        | 7.3171 | 600  | 0.0259          | 0.0097    | 1.6949 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1