eldad-akhaumere/whisper-LoRA-small-ha

Whisper Small_LoRA Ha - Eldad Akhaumere

This model is a fine-tuned version of openai/whisper-small on the Common Voice 16.0_ dataset. It achieves the following results on the evaluation set:

• Loss: 2.0708

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: 3e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: constant_with_warmup
• lr_scheduler_warmup_steps: 50
• num_epochs: 20.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
3.0616	1.5924	250	2.9990
2.1053	3.1847	500	2.1317
2.0123	4.7771	750	2.0903
1.9218	6.3694	1000	2.0661
1.894	7.9618	1250	2.0513
1.7961	9.5541	1500	2.0348
1.764	11.1465	1750	2.0300
1.748	12.7389	2000	2.0210
1.6554	14.3312	2250	2.0353
1.6556	15.9236	2500	2.0369
1.6059	17.5159	2750	2.0441
1.5215	19.1083	3000	2.0708

Framework versions

• PEFT 0.14.1.dev0
• Transformers 4.48.0.dev0
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0