pollitoconpapass/whisper-small-cuzco-quechua

Whisper Small

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

• Loss: 0.0002

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: 0.0001
• train_batch_size: 4
• eval_batch_size: 4
• 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: 5000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.0765	12.5	500	0.0630
0.0413	25.0	1000	0.0294
0.0173	37.5	1500	0.0191
0.0161	50.0	2000	0.0116
0.0078	62.5	2500	0.0046
0.0071	75.0	3000	0.0039
0.0019	87.5	3500	0.0015
0.001	100.0	4000	0.0002
0.0007	112.5	4500	0.0002
0.0	125.0	5000	0.0002

Framework versions

• Transformers 4.39.0
• Pytorch 2.3.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2