t5-arabic-text-summarization-finetuned-xsum

This model is a fine-tuned version of malmarjeh/t5-arabic-text-summarization on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.5723

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: 2e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
4.7847	1.0	840	3.4060
3.9577	2.0	1680	3.1634
3.6274	3.0	2520	2.9916
3.5127	4.0	3360	2.8185
3.324	5.0	4200	2.7196
3.2254	6.0	5040	2.6812
3.2065	7.0	5880	2.6396
3.1036	8.0	6720	2.5930
3.0984	9.0	7560	2.5850
2.9747	10.0	8400	2.5723

Framework versions

• Transformers 4.36.2
• Pytorch 2.0.0+cu118
• Datasets 2.16.1
• Tokenizers 0.15.0