---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-Fleurs_AMMI_AFRIVOICE_LRSC-ln-10hrs-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-Fleurs_AMMI_AFRIVOICE_LRSC-ln-10hrs-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: 0.9113
- Wer: 0.2693
- Cer: 0.1004

## 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: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
| 2.662         | 1.0   | 384   | 1.1130          | 0.9642 | 0.4862 |
| 0.9465        | 2.0   | 768   | 0.7685          | 0.7183 | 0.3554 |
| 0.6467        | 3.0   | 1152  | 0.6290          | 0.7266 | 0.3898 |
| 0.4612        | 4.0   | 1536  | 0.5702          | 0.6397 | 0.3367 |
| 0.3264        | 5.0   | 1920  | 0.5509          | 0.6423 | 0.3565 |
| 0.2166        | 6.0   | 2304  | 0.5555          | 0.9089 | 0.5573 |
| 0.136         | 7.0   | 2688  | 0.5589          | 0.9389 | 0.5901 |
| 0.0854        | 8.0   | 3072  | 0.5840          | 0.9759 | 0.5946 |
| 0.0535        | 9.0   | 3456  | 0.6099          | 0.7188 | 0.4253 |
| 0.0401        | 10.0  | 3840  | 0.6250          | 0.8047 | 0.4718 |
| 0.0305        | 11.0  | 4224  | 0.6397          | 0.5552 | 0.3004 |
| 0.0234        | 12.0  | 4608  | 0.6584          | 0.4350 | 0.2223 |
| 0.0179        | 13.0  | 4992  | 0.6768          | 0.4224 | 0.1984 |
| 0.0141        | 14.0  | 5376  | 0.6962          | 0.4579 | 0.2346 |
| 0.0109        | 15.0  | 5760  | 0.7025          | 0.4128 | 0.1926 |
| 0.0096        | 16.0  | 6144  | 0.6962          | 0.3778 | 0.1732 |
| 0.0069        | 17.0  | 6528  | 0.7180          | 0.3991 | 0.1853 |
| 0.0061        | 18.0  | 6912  | 0.7368          | 0.3223 | 0.1319 |
| 0.0045        | 19.0  | 7296  | 0.7343          | 0.3606 | 0.1692 |
| 0.0054        | 20.0  | 7680  | 0.7521          | 0.2899 | 0.1133 |
| 0.0039        | 21.0  | 8064  | 0.7545          | 0.3050 | 0.1204 |
| 0.0052        | 22.0  | 8448  | 0.7758          | 0.2871 | 0.1105 |
| 0.0041        | 23.0  | 8832  | 0.7674          | 0.2952 | 0.1189 |
| 0.0045        | 24.0  | 9216  | 0.7896          | 0.2945 | 0.1143 |
| 0.0033        | 25.0  | 9600  | 0.7860          | 0.2891 | 0.1149 |
| 0.0026        | 26.0  | 9984  | 0.8004          | 0.2691 | 0.0999 |
| 0.0029        | 27.0  | 10368 | 0.8039          | 0.2696 | 0.0999 |
| 0.0036        | 28.0  | 10752 | 0.8287          | 0.2634 | 0.0939 |
| 0.0027        | 29.0  | 11136 | 0.7887          | 0.2707 | 0.1002 |
| 0.0032        | 30.0  | 11520 | 0.8300          | 0.2734 | 0.1032 |
| 0.0029        | 31.0  | 11904 | 0.8122          | 0.2628 | 0.0954 |
| 0.0032        | 32.0  | 12288 | 0.8459          | 0.2664 | 0.0962 |
| 0.0031        | 33.0  | 12672 | 0.8250          | 0.2741 | 0.1075 |
| 0.0023        | 34.0  | 13056 | 0.8579          | 0.2649 | 0.0966 |
| 0.0023        | 35.0  | 13440 | 0.8535          | 0.2606 | 0.0961 |
| 0.0018        | 36.0  | 13824 | 0.8601          | 0.2571 | 0.0930 |
| 0.0028        | 37.0  | 14208 | 0.8426          | 0.2603 | 0.0969 |
| 0.0021        | 38.0  | 14592 | 0.8617          | 0.2591 | 0.0967 |
| 0.0016        | 39.0  | 14976 | 0.8570          | 0.2572 | 0.0930 |
| 0.0022        | 40.0  | 15360 | 0.8496          | 0.2581 | 0.0926 |
| 0.0015        | 41.0  | 15744 | 0.8533          | 0.2578 | 0.0958 |
| 0.0014        | 42.0  | 16128 | 0.8752          | 0.2520 | 0.0891 |
| 0.0014        | 43.0  | 16512 | 0.8737          | 0.2552 | 0.0918 |
| 0.0013        | 44.0  | 16896 | 0.8928          | 0.2616 | 0.0974 |
| 0.0026        | 45.0  | 17280 | 0.9111          | 0.2613 | 0.0957 |
| 0.0029        | 46.0  | 17664 | 0.8834          | 0.2672 | 0.0999 |
| 0.0018        | 47.0  | 18048 | 0.8904          | 0.2555 | 0.0916 |
| 0.0014        | 48.0  | 18432 | 0.9028          | 0.2541 | 0.0893 |
| 0.0013        | 49.0  | 18816 | 0.8990          | 0.2558 | 0.0904 |
| 0.0014        | 50.0  | 19200 | 0.9087          | 0.2564 | 0.0927 |
| 0.0014        | 51.0  | 19584 | 0.9115          | 0.2610 | 0.0934 |
| 0.0007        | 52.0  | 19968 | 0.9291          | 0.2592 | 0.0938 |
| 0.0011        | 53.0  | 20352 | 0.9081          | 0.2603 | 0.0970 |
| 0.0014        | 54.0  | 20736 | 0.9113          | 0.2693 | 0.1004 |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.1.0+cu118
- Datasets 3.1.0
- Tokenizers 0.20.3