<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

arabertAutoModelForMaskedLM

This model is a fine-tuned version of aubmindlab/bert-base-arabert on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.0000
• eval_runtime: 0.1606
• eval_samples_per_second: 24.901
• eval_steps_per_second: 6.225
• epoch: 4.0
• step: 4

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
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 150

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.0+cpu
• Datasets 2.1.0
• Tokenizers 0.13.3