Rhaodgh/whisper-medium-libyan2

Whisper medium — Libyan Arabic Dialect2

This model is a fine-tuned version of openai/whisper-medium on the Custom Libyan Arabic podcast — 258 manually transcribed clips dataset. It achieves the following results on the evaluation set:

• Loss: 0.7715
• Wer: 36.1968

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: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 16
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 25
• training_steps: 500
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1496	6.6897	100	0.5612	34.7790
0.0344	13.3448	200	0.6559	34.9458
0.0097	20.0	300	0.7456	35.2794
0.0021	26.6897	400	0.7563	35.7798
0.0015	33.3448	500	0.7715	36.1968

Framework versions

• Transformers 5.12.1
• Pytorch 2.11.0+cu128
• Datasets 4.0.0
• Tokenizers 0.22.2