This model is a fine-tuned version of openai/whisper-tiny on the fineaudio-ScienceTechnology-AI Concepts dataset. It achieves the following results on the evaluation set:

Loss: 0.5842
Wer: 32.0808

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: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.522	1.2690	1000	0.6057	37.2097
0.3557	2.5381	2000	0.5705	31.0737
0.2384	3.8071	3000	0.5771	31.5585
0.2008	5.0761	4000	0.5842	32.0808

Framework versions

Transformers 4.46.3
Pytorch 2.4.0
Datasets 3.1.0
Tokenizers 0.20.0

wwwtwwwt/whisper-tiny-ScienceTechnology-V1

Whisper Tiny En - ScienceTechnology - AI Concepts

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

wwwtwwwt/
whisper-tiny-ScienceTechnology-V1