Dansk-wav2vec2-stt

This model is a fine-tuned version of Siyam/Dansk-wav2vec21 on the common_voice dataset. It achieves the following results on the evaluation set:

• Loss: 0.7500
• Wer: 0.3929

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: 16
• eval_batch_size: 8
• 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
• lr_scheduler_warmup_steps: 500
• num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0298	4.26	400	0.8420	0.4579
0.0479	8.51	800	0.8713	0.4461
0.0387	12.77	1200	0.8307	0.4404
0.0336	17.02	1600	0.8322	0.4144
0.0322	21.28	2000	0.7493	0.4081
0.0288	25.53	2400	0.7361	0.3951
0.0264	29.79	2800	0.7500	0.3929

Framework versions

• Transformers 4.11.3
• Pytorch 1.10.0+cu113
• Datasets 2.1.0
• Tokenizers 0.10.3