---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-CV_Fleurs_AMMI_ALFFA-sw-100hrs-v1
  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-CV_Fleurs_AMMI_ALFFA-sw-100hrs-v1

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4908
- Wer: 0.1975
- Cer: 0.0747

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
| 1.766         | 1.0   | 3941  | 0.4901          | 0.3532 | 0.1359 |
| 0.5754        | 2.0   | 7882  | 0.3695          | 0.2248 | 0.0827 |
| 0.3572        | 3.0   | 11823 | 0.3460          | 0.1895 | 0.0662 |
| 0.2438        | 4.0   | 15764 | 0.3584          | 0.2005 | 0.0812 |
| 0.1872        | 5.0   | 19705 | 0.3732          | 0.2092 | 0.0885 |
| 0.1594        | 6.0   | 23646 | 0.3998          | 0.1917 | 0.0704 |
| 0.1483        | 7.0   | 27587 | 0.4195          | 0.2008 | 0.0754 |
| 0.1437        | 8.0   | 31528 | 0.4354          | 0.2083 | 0.0791 |
| 0.1413        | 9.0   | 35469 | 0.4415          | 0.1969 | 0.0729 |
| 0.1392        | 10.0  | 39410 | 0.4553          | 0.1995 | 0.0766 |
| 0.1312        | 11.0  | 43351 | 0.4681          | 0.2010 | 0.0786 |
| 0.1095        | 12.0  | 47292 | 0.4726          | 0.2014 | 0.0819 |
| 0.0945        | 13.0  | 51233 | 0.4908          | 0.1975 | 0.0747 |


### Framework versions

- Transformers 4.46.1
- Pytorch 2.1.0+cu118
- Datasets 3.1.0
- Tokenizers 0.20.1