Whisper small Darija

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

  • Loss: 0.5318
  • Wer: 48.2740

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: 25
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.4762 1.6584 1000 0.5318 48.2740

Framework versions

  • Transformers 4.45.0
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.1
  • Tokenizers 0.20.0
Downloads last month
50
Safetensors
Model size
242M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for ychafiqui/whisper-small-darija

Finetuned
(2100)
this model

Collection including ychafiqui/whisper-small-darija