This model is a fine-tuned version of facebook/w2v-bert-2.0 on the kiranpantha/OpenSLR54-Balanced-Nepali dataset. It achieves the following results on the evaluation set:

Loss: 0.6944
Wer: 0.4713
Cer: 0.1205

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.0949	0.24	300	0.7135	0.4638	0.1182
0.1365	0.48	600	0.7121	0.5203	0.1346
0.1923	0.72	900	0.6871	0.5069	0.1266
0.1618	0.96	1200	0.6799	0.4831	0.1232
0.1142	1.2	1500	0.7192	0.4789	0.1251
0.1124	1.44	1800	0.6891	0.4772	0.1215
0.1032	1.6800	2100	0.7138	0.4821	0.1226
0.1146	1.92	2400	0.6944	0.4713	0.1205

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1

kiranpantha/w2v-bert-2.0-nepali-unlabeled-5

Wave2Vec2-Bert2.0 - Kiran Pantha

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

kiranpantha/
w2v-bert-2.0-nepali-unlabeled-5