whisper-small-jotest – AI Model by B0808 | AlphaNeural AI

You can deploy this model and start earning money today!

B0808/
whisper-small-jotest

like

0

automatic-speech-recognition

hf-asr-leaderboard

generated_from_trainer

MetaDataByAudio

openai/whisper-small

endpoints_compatible

Views

No views yet

Whisper Small-FineTuning-allKeywords

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

Loss: 1.5471
Wer: 19.2263

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: 3
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: 100
training_steps: 400
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2091	50.0	50	1.6165	19.6366
0.0707	100.0	100	1.7163	19.2849
0.0	150.0	150	1.5499	19.4607
0.0	200.0	200	1.5489	19.4021
0.0	250.0	250	1.5481	19.2849
0.0	300.0	300	1.5477	19.2263
0.0	350.0	350	1.5471	19.2263
0.0	400.0	400	1.5471	19.2263

Framework versions

Transformers 4.39.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2