Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
low-german – Dataset by dennohpeter | AlphaNeural AI
You can deploy this model and start earning money today!
dennohpeter
/
low-german
like
0
1K<n<10K
parquet
audio
text
datasets
dask
polars
mlcroissant
us
Views
No views yet
Model card
Files and Versions
Community
API
low-german
This model is a fine-tuned version of
facebook/wav2vec2-base-960h
on the fleurs dataset. It achieves the following results on the evaluation set:
Loss: 20.8272
Wer: 1.1892
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.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: 2000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0
31.2540
1000
20.8277
1.1877
0.0
62.5079
2000
20.8272
1.1892
Framework versions
Transformers 4.53.0
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.21.2
