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

eval_loss: 3.0191
eval_wer: 1.0
eval_runtime: 252.2389
eval_samples_per_second: 30.217
eval_steps_per_second: 0.476
epoch: 1.0
step: 340

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: 0.0005
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2000
num_epochs: 5
mixed_precision_training: Native AMP

Framework versions

Transformers 4.17.0.dev0
Pytorch 1.10.2+cu102
Datasets 1.18.2.dev0
Tokenizers 0.11.0

Evaluation Commands

Please use the evaluation script eval.py included in the repo.

To evaluate on speech-recognition-community-v2/dev_data

python eval.py --model_id nouamanetazi/wav2vec2-xls-r-300m-ar --dataset speech-recognition-community-v2/dev_data --config ar --split validation --chunk_length_s 5.0 --stride_length_s 1.0

nouamanetazi/wav2vec2-xls-r-300m-ar-with-lm

wav2vec2-xls-r-300m-ar

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Framework versions

Evaluation Commands

nouamanetazi/
wav2vec2-xls-r-300m-ar-with-lm