whisper-small-hi – AI Model by gopikachu | AlphaNeural AI

You can deploy this model and start earning money today!

gopikachu/
whisper-small-hi

like

0

automatic-speech-recognition

generated_from_trainer

openai/whisper-small

endpoints_compatible

Views

No views yet

Whisper Small Hi - Gopika Krishnan

This model is a fine-tuned version of openai/whisper-small on the Konnakol dataset. It achieves the following results on the evaluation set:

Loss: 2.2352
Wer: 87.6457

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: 0.0001
train_batch_size: 32
eval_batch_size: 16
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: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1507	21.7391	500	1.2891	87.7622
0.0428	43.4783	1000	1.4133	93.7063
0.0111	65.2174	1500	1.7252	89.3939
0.0063	86.9565	2000	1.8134	85.8974
0.0035	108.6957	2500	2.0195	85.7809
0.003	130.4348	3000	2.0771	87.8788
0.0027	152.1739	3500	2.1378	87.5291
0.0025	173.9130	4000	2.1730	86.4802
0.0025	195.6522	4500	2.2126	87.8788
0.0025	217.3913	5000	2.2352	87.6457

Framework versions

Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1