Foxasdf/whisper-base-ar

Whisper base ar - spongebob

This model is a fine-tuned version of openai/whisper-base on the Common Voice 15.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.4649
• Wer: 43.0741

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: 2
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 1500
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.4268	0.87	500	0.5523	50.5668
0.2877	1.73	1000	0.4752	45.1258
0.2197	2.6	1500	0.4649	43.0741

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0