textGeneration_06

This model is a fine-tuned version of t5-small on the xsum dataset. It achieves the following results on the evaluation set:

• Loss: 3.7405
• Rouge1: 12.1154
• Rouge2: 1.7291
• Rougel: 9.4055
• Rougelsum: 11.035
• Gen Len: 937.368

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: 16
• eval_batch_size: 16
• 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	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
4.2168	1.0	1250	3.8405	12.1695	1.7457	9.3821	11.0907	896.12
4.1005	2.0	2500	3.7840	11.933	1.7034	9.3269	10.8944	938.399
4.0678	3.0	3750	3.7579	12.0066	1.7388	9.3301	10.9558	936.662
4.0411	4.0	5000	3.7445	12.0542	1.7188	9.4032	11.0116	932.645
4.0359	5.0	6250	3.7405	12.1154	1.7291	9.4055	11.035	937.368

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3