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: 0.4932
Wer: 34.6890
Cer: 23.4230

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: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.1262	8.77	500	0.4595	29.7847	17.7683
0.006	17.54	1000	0.4932	34.6890	23.4230

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

Whisper small Hi - CKS 2411 finalbatch

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

CKSINGH/
whisper-small-hi-finalBatch