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

Loss: 1.4409
Wer: 46.5877

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
0.7835	0.8230	1000	1.3163	54.4973
0.5343	1.6461	2000	1.3817	50.0405
0.4552	2.4691	3000	1.4197	46.4158
0.3277	3.2922	4000	1.4409	46.5877

Framework versions

Transformers 4.46.3
Pytorch 2.4.0
Datasets 3.1.0
Tokenizers 0.20.0

wwwtwwwt/whisper-tiny-multiple-topic

Whisper Tiny En - Education - Documentaries

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

wwwtwwwt/
whisper-tiny-multiple-topic