whisper-medium-ckb

This model is a fine-tuned version of openai/whisper-medium on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2977
• Wer: 31.3503

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
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 1833
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.27	1.03	366	0.2722	43.9177
0.1498	2.07	732	0.2354	36.2845
0.0538	3.1	1098	0.2422	33.6539
0.0168	4.14	1464	0.2717	32.3842
0.0025	6.0	1830	0.2977	31.3503

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.1+cu116
• Datasets 2.7.1
• Tokenizers 0.13.2