This model is a fine-tuned version of KBLab/wav2vec2-large-voxrex on the NBAILAB/NPSC - 16K_MP3_NYNORSK dataset. It achieves the following results on the evaluation set:

Loss: 0.4142
Wer: 0.1576

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: 7.5e-05
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
lr_scheduler_warmup_steps: 2000
num_epochs: 40.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.086	2.17	500	3.0773	1.0
2.8532	4.35	1000	2.8393	1.0
0.9738	6.52	1500	0.7283	0.4890
0.6763	8.7	2000	0.5340	0.3662
0.5303	10.87	2500	0.4521	0.3140
0.4765	13.04	3000	0.4181	0.2853
0.4219	15.22	3500	0.4156	0.2934
0.3564	17.39	4000	0.3925	0.2509
0.3282	19.57	4500	0.3824	0.2420
0.3118	21.74	5000	0.3636	0.2354
0.2919	23.91	5500	0.3615	0.2281
0.2961	26.09	6000	0.3548	0.2255
0.284	28.26	6500	0.3526	0.2209
0.2566	30.43	7000	0.3526	0.2205
0.2422	32.61	7500	0.3569	0.2173
0.2472	34.78	8000	0.3592	0.2166
0.2337	36.96	8500	0.3625	0.2172
0.2315	39.13	9000	0.3580	0.2155

Framework versions

Transformers 4.17.0.dev0
Pytorch 1.10.0+cu113
Datasets 1.18.3
Tokenizers 0.10.3

NbAiLab/wav2vec2-large-voxrex-npsc-nynorsk

wav2vec2-large-voxrex-npsc-nynorsk

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

NbAiLab/
wav2vec2-large-voxrex-npsc-nynorsk