---
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-200hrs-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-200hrs-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: 0.4605
- Wer: 0.1870
- Cer: 0.0746

## 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    |
|:-------------:|:-----:|:------:|:---------------:|:------:|:------:|
| 1.3655        | 1.0   | 8064   | 0.4347          | 0.3461 | 0.1533 |
| 0.4274        | 2.0   | 16128  | 0.3388          | 0.1987 | 0.0715 |
| 0.2724        | 3.0   | 24192  | 0.3215          | 0.1789 | 0.0658 |
| 0.1953        | 4.0   | 32256  | 0.3383          | 0.1737 | 0.0632 |
| 0.1563        | 5.0   | 40320  | 0.3501          | 0.1856 | 0.0728 |
| 0.1368        | 6.0   | 48384  | 0.3699          | 0.1954 | 0.0870 |
| 0.127         | 7.0   | 56448  | 0.3858          | 0.1844 | 0.0711 |
| 0.1236        | 8.0   | 64512  | 0.4001          | 0.1905 | 0.0786 |
| 0.1216        | 9.0   | 72576  | 0.4121          | 0.1982 | 0.0809 |
| 0.1204        | 10.0  | 80640  | 0.4407          | 0.2144 | 0.0916 |
| 0.1123        | 11.0  | 88704  | 0.4334          | 0.1946 | 0.0798 |
| 0.0949        | 12.0  | 96768  | 0.4478          | 0.1869 | 0.0754 |
| 0.0808        | 13.0  | 104832 | 0.4396          | 0.1862 | 0.0762 |
| 0.0702        | 14.0  | 112896 | 0.4605          | 0.1870 | 0.0746 |


### Framework versions

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