Qulabarzi21/whisper-small-ckb-fleurs-pro

Whisper Small CKB - Pro (Best Step)

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

• Loss: 0.3767

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 5000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.2672	2.5907	500	0.3034
0.0416	5.1813	1000	0.2682
0.0152	7.7720	1500	0.2846
0.0032	10.3627	2000	0.3132
0.0013	12.9534	2500	0.3376
0.0006	15.5440	3000	0.3526
0.0003	18.1347	3500	0.3617
0.0002	20.7254	4000	0.3688
0.0001	23.3161	4500	0.3746
0.0002	25.9067	5000	0.3767

Framework versions

• Transformers 4.57.3
• Pytorch 2.9.0+cu126
• Datasets 2.19.0
• Tokenizers 0.22.1