You can deploy this model and start earning money today!

rmacek/
ORF-large-v3-de

generated_from_trainer

rmacek/ORF-whisper-large-v3

openai/whisper-large-v3

adapter

apache-2.0

model-index

Views

No views yet

Whisper ORF Bundeslaender

This model is a fine-tuned version of openai/whisper-large-v3 on the ZIB2 Common Voice dataset. It achieves the following results on the evaluation set:

Loss: 0.3878
Wer: 17.2956

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
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
0.3943	1.7153	1000	0.4072	17.5540
0.3431	3.4305	2000	0.3922	17.3458
0.3961	5.1458	3000	0.3885	17.3506
0.3548	6.8611	4000	0.3878	17.2956

Framework versions

PEFT 0.10.1.dev0
Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

rmacek/ORF-large-v3-de

Whisper ORF Bundeslaender

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

rmacek/
ORF-large-v3-de