This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the nb_samtale dataset. It achieves the following results on the evaluation set:

Loss: 2.2190
Wer: 0.7528

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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.8141	2.57	400	3.0571	1.0
3.0777	5.14	800	2.9987	1.0
2.7311	7.72	1200	2.5705	0.9829
2.1302	10.29	1600	1.8399	0.9225
1.6827	12.86	2000	1.6372	0.8559
1.312	15.43	2400	1.8908	0.9172
0.9979	18.01	2800	1.7908	0.7890
0.7456	20.58	3200	1.8110	0.7720
0.592	23.15	3600	2.0024	0.7686
0.4946	25.72	4000	2.1173	0.7702
0.4093	28.3	4400	2.2190	0.7528

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0

Max200293/wav2vec2-classic-300m-norwegian-colab

wav2vec2-classic-300m-norwegian-colab

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Max200293/
wav2vec2-classic-300m-norwegian-colab