sum_model_0318_15_20epochs

This is the model trained for 20 epochs!! (actually it does not goe improvements since epoch 15)

This model is a fine-tuned version of weny22/sum_model_0318_20epochs on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.0783
• Rouge1: 0.1997
• Rouge2: 0.0704
• Rougel: 0.1603
• Rougelsum: 0.1603
• Gen Len: 18.9507

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: 20
• eval_batch_size: 20
• 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
2.3596	1.0	1071	2.0975	0.1985	0.0698	0.1599	0.1598	18.944
2.3513	2.0	2142	2.1044	0.1987	0.0694	0.1596	0.1596	18.9507
2.3632	3.0	3213	2.0884	0.2005	0.0714	0.1609	0.1609	18.9447
2.3713	4.0	4284	2.0795	0.2001	0.0712	0.1608	0.1607	18.9513
2.3908	5.0	5355	2.0783	0.1997	0.0704	0.1603	0.1603	18.9507

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2