araT5-Base

This model is a fine-tuned version of UBC-NLP/AraT5v2-base-1024 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.3080
• Bleu: 19.9507
• Rouge: 0.6204
• Gen Len: 14.3392

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: 0.0002
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Rouge	Gen Len
2.7135	1.0	7500	1.6843	15.9171	0.5533	14.33
1.6024	2.0	15000	1.4055	18.3573	0.5965	14.27
1.1542	3.0	22500	1.3082	19.3343	0.6112	14.3792
0.8608	4.0	30000	1.3080	19.9507	0.6204	14.3392
0.6687	5.0	37500	1.3430	20.2683	0.6234	14.3436

Framework versions

• Transformers 4.44.0
• Pytorch 2.4.0
• Datasets 2.21.0
• Tokenizers 0.19.1