metadata

license: apache-2.0
base_model: riotu-lab/ArabianGPT-01B
tags:
  - generated_from_trainer
metrics:
  - bleu
  - rouge
model-index:
  - name: test-egy_aragpt
    results: []

test-egy_aragpt

This model is a fine-tuned version of riotu-lab/ArabianGPT-01B on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 3.1283
Bleu: 0.1142
Rouge1: 0.3298
Rouge2: 0.0843
Rougel: 0.2561

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: 5e-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
lr_scheduler_warmup_steps: 500
num_epochs: 2.0

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Rouge1	Rouge2	Rougel
4.3013	1.5674	500	3.1283	0.1142	0.3298	0.0843	0.2561

Framework versions

Transformers 4.45.0.dev0
Pytorch 2.3.1+cu121
Datasets 2.19.2
Tokenizers 0.19.1