res_nw_lev_03

This model is a fine-tuned version of riotu-lab/ArabianGPT-03B on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3660
• Bleu: 0.4889
• Rouge1: 0.7442
• Rouge2: 0.5302
• Rougel: 0.7434

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
0.6345	1.0	5062	0.4249	0.4054	0.6718	0.4168	0.6706
0.3258	2.0	10124	0.3824	0.4443	0.7135	0.4800	0.7124
0.2266	3.0	15186	0.3660	0.4889	0.7442	0.5302	0.7434
0.1702	4.0	20248	0.3713	0.5217	0.7592	0.5618	0.7584
0.1405	5.0	25310	0.3809	0.5411	0.7671	0.5785	0.7663
0.1253	6.0	30372	0.3939	0.5539	0.7718	0.5899	0.7710
0.1166	7.0	35434	0.3990	0.5536	0.7745	0.5942	0.7737
0.1107	8.0	40496	0.4050	0.5608	0.7770	0.5994	0.7763

Framework versions

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