whisper-small-dv – AI Model by jensg | AlphaNeural AI

You can deploy this model and start earning money today!

jensg/
whisper-small-dv

like

0

automatic-speech-recognition

generated_from_trainer

mozilla-foundation/common_voice_13_0

openai/whisper-small

endpoints_compatible

Views

No views yet

Whisper Small Dv - Sanchit Gandhi

This model is a fine-tuned version of openai/whisper-small on the Common Voice 13 dataset. It achieves the following results on the evaluation set:

Loss: 0.3085
Wer Ortho: 58.3606
Wer: 11.6320

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 4000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.1119	1.63	500	0.1645	60.8817	12.9082
0.0457	3.26	1000	0.1677	59.3286	11.7450
0.0317	4.89	1500	0.1903	58.3258	11.3798
0.012	6.51	2000	0.2292	58.0403	11.7085
0.007	8.14	2500	0.2595	56.9538	11.0982
0.0061	9.77	3000	0.2606	56.6404	10.8878
0.0052	11.4	3500	0.2737	56.8911	11.1799
0.0033	13.03	4000	0.3085	58.3606	11.6320

Framework versions

Transformers 4.32.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.13.3