---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- abdouaziiz/fulfulde_lam
metrics:
- wer
model-index:
- name: whisper-medium-v3-ff4
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: abdouaziiz/fulfulde_lam
      type: abdouaziiz/fulfulde_lam
    metrics:
    - name: Wer
      type: wer
      value: 0.16938691239432335
---

<!-- 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-medium-v3-ff4

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the abdouaziiz/fulfulde_lam dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2572
- Wer: 0.1694

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 26000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Wer    |
|:-------------:|:------:|:-----:|:---------------:|:------:|
| 0.3543        | 0.6393 | 5000  | 0.3380          | 0.2361 |
| 0.2259        | 1.2786 | 10000 | 0.2893          | 0.2022 |
| 0.1938        | 1.9179 | 15000 | 0.2597          | 0.1790 |
| 0.1119        | 2.5572 | 20000 | 0.2572          | 0.1694 |
| 0.0632        | 3.1965 | 25000 | 0.2615          | 0.1660 |


### Framework versions

- Transformers 4.46.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.20.3