t5-base-finetuned-multi-oe-full

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

• Loss: 0.2883
• Rouge1: 59.9814
• Rouge2: 51.5747
• Rougel: 59.4429
• Rougelsum: 59.4001
• Gen Len: 10.6632

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: 0.002
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.8355	1.0	591	0.3871	51.195	41.4443	50.5766	50.5419	11.04
0.3465	2.0	1182	0.3003	57.5018	48.6629	56.9622	56.8835	10.767
0.2252	3.0	1773	0.2883	59.9814	51.5747	59.4429	59.4001	10.6632

Framework versions

• Transformers 4.35.0
• Pytorch 1.12.1+cu116
• Datasets 2.4.0
• Tokenizers 0.14.1