./hamsa-v0.6Q

This model is a fine-tuned version of openai/whisper-medium on the nadsoft/arabic-98 dataset. It achieves the following results on the evaluation set:

• Loss: 0.2781
• Wer: 23.4124

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: 32
• eval_batch_size: 16
• 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: 300
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.9225	0.33	100	0.8743	24.5136
0.2721	0.67	200	0.2782	24.1367
0.2474	1.0	300	0.2781	23.4124

Framework versions

• Transformers 4.37.0.dev0
• Pytorch 2.1.0+cu121
• Datasets 2.16.2.dev0
• Tokenizers 0.15.0