UrduSum10k

This model is a fine-tuned version of ahmed0189/mT5-Arabic-text-summarization on the None dataset. It achieves the following results on the evaluation set:

• Loss: 3.0337
• Rouge1: 0.3812
• Rouge2: 0.0
• Rougel: 0.3917
• Rougelsum: 0.3896
• Gen Len: 35.5582

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: 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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
3.6352	1.0	3000	3.0337	0.3812	0.0	0.3917	0.3896	35.5582

Framework versions

• Transformers 4.28.0
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.13.3