t5-aramco-news

This model is a fine-tuned version of google-t5/t5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 4.1047
• Rouge1: 13.0173
• Rouge2: 6.3034
• Rougel: 12.1769
• Rougelsum: 13.0173

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	8	4.1414	12.0370	5.1987	8.9120	12.0370
No log	2.0	16	3.8934	12.0370	5.1987	8.9120	12.0370
No log	3.0	24	3.8055	12.0370	5.1987	8.9120	12.0370

Framework versions

• Transformers 4.42.3
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1