This model is a fine-tuned version of openai/whisper-small on the Tunisian_dataset_STT-TTS30s_filtred1.0 dataset. It achieves the following results on the evaluation set:

Loss: 3.7250
Wer: 103.1746

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1045	8.4746	500	3.3315	102.7898
0.0043	16.9492	1000	3.7250	103.1746

Framework versions

Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Arbi-Houssem/TunLangModel_test30s

Whisper Tunisien

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Arbi-Houssem/
TunLangModel_test30s