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marccgrau/
whisper-small-init

Name: whisper-small-init
Availability: InStock

transformers

pytorch

whisper

automatic-speech-recognition

sbb-asr

generated_from_trainer

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Whisper Small German SBB

This model is a fine-tuned version of openai/whisper-small on the SBB Dataset 29.11.2022 dataset. It achieves the following results on the evaluation set:

Loss: 0.0151
Wer: 0.8658

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: 32
eval_batch_size: 32
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: 500
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.8659	10.0	50	0.6119	6.4935
0.2183	20.0	100	0.0727	5.1948
0.0002	30.0	150	0.0168	0.8658
0.0001	40.0	200	0.0159	0.8658
0.0	50.0	250	0.0155	0.8658
0.0	60.0	300	0.0154	0.8658
0.0	70.0	350	0.0152	0.8658
0.0	80.0	400	0.0151	0.8658
0.0	90.0	450	0.0151	0.8658
0.0	100.0	500	0.0151	0.8658

Framework versions

Transformers 4.25.1
Pytorch 1.12.1
Datasets 2.7.1
Tokenizers 0.12.1

marccgrau/whisper-small-init

Whisper Small German SBB

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

marccgrau/
whisper-small-init