---
library_name: transformers
language:
- lg
license: apache-2.0
base_model: jonahdvt/whisper-fleurs-medium-afri
tags:
- generated_from_trainer
datasets:
- google/fleurs
model-index:
- name: "Whisper Medium FLEURS \u2013 lg FLEURS+ African Fine\u2011tuning"
  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 Medium FLEURS – lg FLEURS+ African Fine‑tuning

This model is a fine-tuned version of [jonahdvt/whisper-fleurs-medium-afri](https://huggingface.co/jonahdvt/whisper-fleurs-medium-afri) on the FLEURS dataset.

## 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: 4
- 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: 100
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0