mt5-base-finetuned-ar-wikilingua

This model is a fine-tuned version of google/mt5-base on the wiki_lingua dataset. It achieves the following results on the evaluation set:

• Loss: 3.6790
• Rouge-1: 19.46
• Rouge-2: 6.82
• Rouge-l: 17.57
• Gen Len: 18.83
• Bertscore: 70.18

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 250
• num_epochs: 8
• label_smoothing_factor: 0.1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge-1	Rouge-2	Rouge-l	Gen Len	Bertscore
4.9783	1.0	5111	4.0107	15.8	4.65	14.18	18.98	68.66
4.2093	2.0	10222	3.8664	16.46	5.17	15.08	18.91	68.5
4.0303	3.0	15333	3.7847	17.0	5.43	15.45	18.89	68.75
3.9165	4.0	20444	3.7405	17.03	5.5	15.45	18.86	68.78
3.8396	5.0	25555	3.7102	17.14	5.57	15.48	18.87	68.92
3.7825	6.0	30666	3.6944	17.64	5.73	15.96	18.82	69.14
3.7447	7.0	35777	3.6801	17.6	5.66	15.9	18.78	69.23
3.7203	8.0	40888	3.6790	17.94	5.81	16.21	18.81	69.29

Framework versions

• Transformers 4.18.0
• Pytorch 1.10.0+cu111
• Datasets 2.1.0
• Tokenizers 0.12.1