This model is a fine-tuned version of elgeish/wav2vec2-large-xlsr-53-arabic on an unknown dataset.
It achieves the following results on the evaluation set:
eval_loss: 1.0637
eval_accuracy: 0.5745
eval_runtime: 329.6619
eval_samples_per_second: 13.717
eval_steps_per_second: 1.717
epoch: 1.4938
step: 3800
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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
