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

Loss: 0.5777
Wer: 33.1148
Cer: 14.1232

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: 2000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.1067	6.94	500	0.4508	36.7213	17.2021
0.0083	13.89	1000	0.5445	35.4098	15.9973
0.001	20.83	1500	0.5720	34.7541	14.9264
0.0001	27.78	2000	0.5777	33.1148	14.1232

Framework versions

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

CKSINGH/whisper-small-hi-finalBatch-test

Whisper small Hi - CKS 2511 finalbatch

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

CKSINGH/
whisper-small-hi-finalBatch-test