This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the GOOGLE/FLEURS - PS_AF dataset. It achieves the following results on the evaluation set:

Loss: 4.1921
Wer: 0.9295
Cer: 0.9608

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
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: 1000
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Cer	Validation Loss	Wer
19.9558	1.27	100	3.2660	20.9197	1.0
19.7186	2.53	200	1.1692	19.2447	1.0
15.203	3.8	300	0.9687	15.0053	0.9998
6.4303	5.06	400	0.9911	6.5437	0.9632
4.5712	6.33	500	0.9546	4.9040	0.9323
3.3986	12.66	1000	4.1921	0.9295	0.9608

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.7.1.dev0
Tokenizers 0.13.2

ihanif/xls-r-1b-pashto

facebook/wav2vec2-xls-r-1b

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ihanif/
xls-r-1b-pashto