t5-small-finetunesmallT5

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

• Loss: 22.8504
• Rouge1: 80.2116
• Rouge2: 70.3704
• Rougel: 80.2116
• Rougelsum: 80.2116
• Gen Len: 4.0

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: 8
• 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
No log	1.0	4	27.3213	80.2116	70.3704	80.2116	80.2116	4.0
No log	2.0	8	25.8240	80.2116	70.3704	80.2116	80.2116	4.0
No log	3.0	12	24.2754	80.2116	70.3704	80.2116	80.2116	4.0
No log	4.0	16	23.4084	80.2116	70.3704	80.2116	80.2116	4.0
No log	5.0	20	22.8504	80.2116	70.3704	80.2116	80.2116	4.0

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.0
• Tokenizers 0.13.3