t5-small-finetuned-new-gettitle

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

• Loss: 2.1342
• Rouge1: 41.0072
• Rouge2: 21.829
• Rougel: 36.7872
• Rougelsum: 36.7623
• Gen Len: 13.7485

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
2.5176	1.0	2050	2.2543	39.227	21.0282	35.4225	35.4136	13.2759
2.4304	2.0	4100	2.1874	40.0497	21.2453	36.0247	36.0363	13.6354
2.3839	3.0	6150	2.1550	40.579	21.5834	36.4843	36.4847	13.6754
2.3506	4.0	8200	2.1392	41.0029	21.8114	36.757	36.7411	13.8856
2.328	5.0	10250	2.1342	41.0072	21.829	36.7872	36.7623	13.7485

Framework versions

• Transformers 4.40.2
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1