my_model

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

• Loss: 2.0550
• Rouge1: 0.4076
• Rouge2: 0.2169
• Rougel: 0.3655
• Rougelsum: 0.3654
• Gen Len: 14.4845

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.3027	1.0	6750	2.1348	0.3964	0.2084	0.3554	0.3552	14.5291
2.2589	2.0	13500	2.0818	0.4021	0.2127	0.3603	0.3602	14.6178
2.227	3.0	20250	2.0605	0.4067	0.2167	0.365	0.3649	14.4537
2.2137	4.0	27000	2.0550	0.4076	0.2169	0.3655	0.3654	14.4845

Framework versions

• Transformers 4.32.1
• Pytorch 2.0.0
• Datasets 2.11.0
• Tokenizers 0.13.3