sum_model_0318_20epochs

This is only trained with 5 epoch! It should be epoch 11 to 15 for the t5 model which I've changed the embedding and lm head to 45000 vocabularies.

This model is a fine-tuned version of weny22/sum_model_0318 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.1007
• Rouge1: 0.1995
• Rouge2: 0.0701
• Rougel: 0.1598
• Rougelsum: 0.1598
• Gen Len: 18.946

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: 6e-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
2.6348	1.0	1071	2.1654	0.1935	0.0663	0.156	0.156	18.9213
2.5474	2.0	2142	2.1300	0.1957	0.0671	0.1572	0.1572	18.918
2.5049	3.0	3213	2.1041	0.2004	0.0697	0.1601	0.1602	18.9313
2.4683	4.0	4284	2.0994	0.1992	0.0695	0.1594	0.1595	18.94
2.4529	5.0	5355	2.1007	0.1995	0.0701	0.1598	0.1598	18.946

Framework versions

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