This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.4688
Wer: 0.5420

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 2000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.7748	2.5993	400	0.9977	0.8406
0.5528	5.1954	800	0.5006	0.6392
0.2781	7.7948	1200	0.4461	0.5797
0.1713	10.3909	1600	0.4591	0.5631
0.118	12.9902	2000	0.4688	0.5420

Framework versions

Transformers 4.55.1
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.4

Sammau/wav2vec2-large-xls-r-300m-dv-ng

wav2vec2-large-xls-r-300m-dv

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Sammau/
wav2vec2-large-xls-r-300m-dv-ng