metadata

license: apache-2.0
tags:
  - generated_from_trainer
  - automatic-speech-recognition
  - NbAiLab/NPSC
  - robust-speech-event
  - false
  - nb-NO
  - hf-asr-leaderboard
datasets:
  - NbAiLab/NPSC
language:
  - nb-NO
model-index:
  - name: wav2vec2-large-voxrex-npsc-bokmaal
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: NPSC
          type: NbAiLab/NPSC
          args: 16K_mp3_bokmaal
        metrics:
          - name: Test (Bokmål) WER
            type: wer
            value: 0.07028972259374369
          - name: Test (Bokmål) CER
            type: cer
            value: 0.026870600821650645

wav2vec2-large-voxrex-npsc-bokmaal

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1311
Wer: 0.1038

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: 8.379967082059723e-06
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 0.1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2127	0.32	500	0.1335	0.1047
0.1976	0.64	1000	0.1309	0.1039
0.1887	0.97	1500	0.1306	0.1040
0.18	1.29	2000	0.1311	0.1038

Framework versions

Transformers 4.17.0.dev0
Pytorch 1.10.2+cu113
Datasets 1.18.4.dev0
Tokenizers 0.11.0