arabic_speech_ASR_Whisper

This model is a fine-tuned version of openai/whisper-tiny on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.8332

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: 0.001
• train_batch_size: 6
• eval_batch_size: 6
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 50
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.9454	1.0	400	0.9238
0.846	2.0	800	0.8786
0.7349	3.0	1200	0.8355
0.6079	4.0	1600	0.8174
0.5083	5.0	2000	0.8075
0.4655	6.0	2400	0.8072
0.3587	7.0	2800	0.8087
0.3336	8.0	3200	0.8147
0.26	9.0	3600	0.8242
0.2193	10.0	4000	0.8332

Framework versions

• PEFT 0.9.0
• Transformers 4.38.2
• Pytorch 2.1.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2