This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the MOZILLA-FOUNDATION/COMMON_VOICE_13_0 - DE dataset. It achieves the following results on the evaluation set:

Loss: 0.1121
Wer: 0.1075
Cer: 0.0286

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: 0.0003
train_batch_size: 32
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.01
num_epochs: 15.0

Training results

Training Loss	Epoch	Step	Cer	Validation Loss	Wer
0.1679	1.0	4348	0.0459	0.1617	0.1707
0.1597	2.0	8697	0.0479	0.1592	0.1717
0.1364	3.0	13045	0.0425	0.1524	0.1563
0.1311	4.0	17394	0.0406	0.1446	0.1515
0.1152	5.0	21742	0.0397	0.1431	0.1470
0.107	6.0	26091	0.0369	0.1382	0.1377
0.0957	7.0	30439	0.0373	0.1343	0.1372
0.0924	8.0	34788	0.0355	0.1335	0.1315
0.0835	9.0	39136	0.0384	0.1328	0.1380
0.0775	10.0	43485	0.0328	0.1232	0.1229
0.0752	11.0	47833	0.0309	0.1220	0.1174
0.0691	12.0	52182	0.0327	0.1182	0.1197
0.0689	13.0	56530	0.0307	0.1163	0.1150
0.0653	14.0	60879	0.0304	0.1141	0.1126
0.0717	15.0	65220	0.1121	0.1075	0.0286

Framework versions

Transformers 4.34.0
Pytorch 2.1.0+cu121
Datasets 2.14.5
Tokenizers 0.14.0

oliverguhr/wav2vec2-large-xlsr-53-german-cv13

wav2vec2-large-xlsr-53-german-cv13-restart

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

oliverguhr/
wav2vec2-large-xlsr-53-german-cv13