rinna-AraBert-qa-ar3

This model is a fine-tuned version of aubmindlab/bert-base-arabertv2 on the arcd dataset. It achieves the following results on the evaluation set:

• Loss: 3.7678

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: 2
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss
3.0074	6.88	150	3.1727
1.3286	13.75	300	3.2007
0.7605	20.63	450	3.5414
0.5722	27.51	600	3.7678

Framework versions

• Transformers 4.33.1
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3