meiiny00/whisper-turbo-check

Whisper Turbo Train

This model is a fine-tuned version of openai/whisper-large-v3-turbo on the Common Voice 18.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.1156
• Wer: 15.2461

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• training_steps: 8000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3715	0.4257	1000	0.3457	40.4692
0.251	0.8514	2000	0.2181	27.7065
0.1569	1.2771	3000	0.1814	24.1533
0.1436	1.7029	4000	0.1531	20.3812
0.0931	2.1286	5000	0.1374	18.4662
0.0891	2.5543	6000	0.1252	16.9349
0.0738	2.9800	7000	0.1199	15.5610
0.0544	3.4057	8000	0.1156	15.2461

Framework versions

• Transformers 4.45.1
• Pytorch 2.1.0
• Datasets 3.0.1
• Tokenizers 0.20.0