ntviet/whisper-small-co5.1

Whisper Small Co 5.1

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

• Loss: 0.0052
• Cer Ortho: 0.0
• Cer: 0.0

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use OptimizerNames.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
• training_steps: 800
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer Ortho	Cer
1.847	1.2195	100	0.8785	40.6143	39.3836
0.4875	2.4390	200	0.3692	22.1843	21.2329
0.2828	3.6585	300	0.1340	8.0205	6.6781
0.1403	4.8780	400	0.0556	5.6314	5.6507
0.0644	6.0976	500	0.0239	2.5597	2.2260
0.0249	7.3171	600	0.0146	39.4198	39.5548
0.037	8.5366	700	0.0281	1.0239	0.8562
0.0131	9.7561	800	0.0052	0.0	0.0

Framework versions

• Transformers 4.51.1
• Pytorch 2.6.0+cu124
• Datasets 3.5.0
• Tokenizers 0.21.1