saadtextsummarize

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

• Loss: 9.1895
• Rouge1: 0.0530
• Rouge2: 0.0134
• Rougel: 0.0397
• Rougelsum: 0.0530

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	1	9.3990	0.0526	0.0133	0.0395	0.0526
No log	2.0	2	9.2566	0.0526	0.0133	0.0395	0.0526
No log	3.0	3	9.1895	0.0530	0.0134	0.0397	0.0530

Framework versions

• Transformers 4.48.1
• Pytorch 2.5.1
• Datasets 3.2.0
• Tokenizers 0.21.0