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: 0.1965
Wer: 0.1950

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: 18
eval_batch_size: 24
seed: 42
gradient_accumulation_steps: 5
total_train_batch_size: 90
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: 1000
num_epochs: 7
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.6582	1.2287	500	0.8055	0.7838
0.4342	2.4575	1000	0.3085	0.3492
0.2572	3.6862	1500	0.2439	0.2692
0.1731	4.9149	2000	0.2070	0.2266
0.1178	6.1426	2500	0.1965	0.1950

Framework versions

Transformers 4.48.0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0

NLPVladimir/wav2vec2-large-xls-r-300m-ru

wav2vec2-large-xls-r-300m-ru

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

NLPVladimir/
wav2vec2-large-xls-r-300m-ru