This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_16_1 dataset.
It achieves the following results on the evaluation set:

eval_loss: 0.590943
eval_wer: 0.548028
eval_runtime: 81.4422
eval_samples_per_second: 19.916
eval_steps_per_second: 2.493
epoch: 1.7365
step: 21600

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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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: 800
num_epochs: 30
mixed_precision_training: Native AMP

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1

DarliAI/kissi-w2v2-lg-xls-r-300m-kinyarwanda

w2v2-lg-xls-r-300m-kinyarwanda

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Framework versions

DarliAI/
kissi-w2v2-lg-xls-r-300m-kinyarwanda