res_nw_lev_1.5

This model is a fine-tuned version of riotu-lab/ArabianGPT-1.5B on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4514
• Bleu: 0.4604
• Rouge1: 0.6935
• Rouge2: 0.4679
• Rougel: 0.6923

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: 20.0

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Rouge1	Rouge2	Rougel
0.9723	1.0	5062	0.5929	0.3381	0.5352	0.2532	0.5335
0.5372	2.0	10124	0.5345	0.3565	0.5789	0.3004	0.5771
0.4562	3.0	15186	0.5011	0.3724	0.6090	0.3366	0.6075
0.3888	4.0	20248	0.4795	0.3896	0.6308	0.3647	0.6295
0.3295	5.0	25310	0.4640	0.4085	0.6529	0.3976	0.6516
0.2783	6.0	30372	0.4554	0.4323	0.6740	0.4326	0.6729
0.2359	7.0	35434	0.4514	0.4604	0.6935	0.4679	0.6923
0.2013	8.0	40496	0.4540	0.4853	0.7055	0.4938	0.7045
0.1741	9.0	45558	0.4603	0.5067	0.7139	0.5122	0.7130
0.1531	10.0	50620	0.4672	0.5228	0.7191	0.5235	0.7181
0.1373	11.0	55682	0.4777	0.5307	0.7205	0.5283	0.7197
0.1256	12.0	60744	0.4877	0.5358	0.7214	0.5308	0.7204

Framework versions

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