Edit model card

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

Incremental Swahili Luganda

This model is a fine-tuned version of openai/whisper-small on the Mix data dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3560
  • Wer: 33.5492

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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 4000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.2725 0.0810 500 0.4085 38.8803
0.2921 0.1620 1000 0.4086 37.8608
0.2746 0.2431 1500 0.3969 37.2596
0.2761 0.3241 2000 0.3825 36.0743
0.2799 0.4051 2500 0.3743 35.2544
0.2426 0.4861 3000 0.3672 34.4208
0.267 0.5671 3500 0.3589 33.7573
0.276 0.6481 4000 0.3560 33.5492

Framework versions

  • Transformers 4.40.0
  • Pytorch 2.2.2+cu118
  • Datasets 2.19.0
  • Tokenizers 0.19.1
Downloads last month
2
Safetensors
Model size
242M params
Tensor type
F32
·

Finetuned from

Dataset used to train mn720/inctraining2

Evaluation results