results_new

This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.1269
• Rouge1: 0.3870
• Rouge2: 0.1916
• Rougel: 0.3593
• Rougelsum: 0.3586

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: 0.0001
• train_batch_size: 8
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	9	2.1682	0.3687	0.1693	0.3411	0.3431
No log	2.0	18	2.1143	0.4078	0.2056	0.3808	0.3839
No log	3.0	27	2.1103	0.4159	0.2086	0.3826	0.3819
No log	4.0	36	2.1055	0.3910	0.2037	0.3696	0.3674
No log	5.0	45	2.0927	0.3841	0.1969	0.3631	0.3626
No log	6.0	54	2.0996	0.3726	0.1947	0.3545	0.3535
No log	7.0	63	2.1051	0.3757	0.1975	0.3571	0.3563
No log	8.0	72	2.1163	0.3897	0.1929	0.3667	0.3652
No log	9.0	81	2.1240	0.3836	0.1950	0.3554	0.3542
No log	10.0	90	2.1269	0.3870	0.1916	0.3593	0.3586

Framework versions

• Transformers 4.39.3
• Pytorch 2.2.2+cpu
• Datasets 2.18.0
• Tokenizers 0.15.2