CKSINGH/whisper-small-hi-graminVoice

Whisper small Hi - CKS 2411 graminVoice

This model is a fine-tuned version of CKSINGH/whisper-small-hi-firefox on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3893
• Wer: 16.1932
• Cer: 12.5576

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: 1.75e-05
• train_batch_size: 16
• eval_batch_size: 8
• 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: 3000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.0115	17.24	1000	0.3435	16.9823	13.1975
0.0004	34.48	2000	0.3805	16.4186	12.5888
0.0001	51.72	3000	0.3893	16.1932	12.5576

Framework versions

• Transformers 4.36.0.dev0
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0