metadata

library_name: transformers
license: apache-2.0
base_model: openai/whisper-medium
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: whisper-finetuned-maghreb-dialect-detector
    results: []

whisper-finetuned-maghreb-dialect-detector

This model is a fine-tuned version of openai/whisper-medium on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.4892
Wer: 67.2099

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: Use OptimizerNames.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: 500
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.4326	3.0770	1000	1.1722	74.2031
0.0454	6.1541	2000	1.3672	68.7769
0.0097	9.2311	3000	1.4892	67.2099
0.0008	12.3082	4000	1.5572	67.4875

Framework versions

Transformers 4.50.1
Pytorch 2.6.0+cu126
Datasets 3.4.1
Tokenizers 0.21.1