metadata

base_model: aubmindlab/bert-base-arabertv02
tags:
  - generated_from_trainer
datasets:
  - arcd
model-index:
  - name: rinna-arabert-qa-ar2
    results: []

rinna-arabert-qa-ar2

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on the arcd dataset. It achieves the following results on the evaluation set:

Loss: 5.9506

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: 0.01
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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
6.0221	6.92	150	5.9506

Framework versions

Transformers 4.32.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3