whisper-tiny-v2

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

• Loss: 1.0055
• Wer: 50.9922

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: 4
• eval_batch_size: 64
• 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: 70000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0181	4.0	10000	0.6723	54.6795
0.0039	8.01	20000	0.7814	52.9841
0.0025	12.01	30000	0.8667	52.7750
0.0002	16.02	40000	0.9316	52.5431
0.0009	20.02	50000	0.9454	51.6042
0.0	24.02	60000	0.9938	51.0872
0.0	28.03	70000	1.0055	50.9922

Framework versions

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