whisper-small-pashto

This model is a fine-tuned version of ihanif/whisper_small_ps_augmented on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3364
• Wer: 32.6050

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: 5e-06
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 600
• training_steps: 21854
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.321	0.0137	100	0.2794	28.2726
1.1509	0.0275	200	0.3045	29.4678
1.0585	0.0412	300	0.3154	30.4388
1.0012	0.0549	400	0.3218	30.4575
0.9466	0.0686	500	0.3329	32.4370
0.9275	0.0824	600	0.3364	32.6050

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.0+cu118
• Datasets 2.19.0
• Tokenizers 0.19.1