This model is a fine-tuned version of facebook/w2v-bert-2.0 on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.1962
Wer: 0.1005

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: 5e-05
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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.075	0.7407	300	0.3441	0.3057
0.2837	1.4815	600	0.2995	0.2274
0.2081	2.2222	900	0.2443	0.1768
0.1579	2.9630	1200	0.2143	0.1493
0.1248	3.7037	1500	0.2165	0.1504
0.0934	4.4444	1800	0.1869	0.1284
0.0719	5.1852	2100	0.2072	0.1216
0.0573	5.9259	2400	0.1949	0.1195
0.0436	6.6667	2700	0.2025	0.1142
0.0317	7.4074	3000	0.2003	0.1097
0.0256	8.1481	3300	0.1942	0.1060
0.0169	8.8889	3600	0.1851	0.1030
0.0121	9.6296	3900	0.1962	0.1005

Framework versions

Transformers 4.41.1
Pytorch 2.1.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

oskarandrsson/wav2vec2-2-bert-swedish-lm

w2v-bert-2.0-sv

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

oskarandrsson/
wav2vec2-2-bert-swedish-lm