---
language:
- hre
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- ntviet/hre-audio-dataset3
model-index:
- name: Whisper Small Hre 3.1 - 600 steps, metric CER
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper Small Hre 3.1 - 600 steps, metric CER

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Hre audio dataset 3 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2948
- Cer Ortho: 27.1607
- Cer: 24.7789

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
| 0.0299        | 6.38  | 600  | 1.2948          | 27.1607   | 24.7789 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2