t5-small

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 3.4021
• Rouge1: 0.2105
• Rouge2: 0.0893
• Rougel: 0.1404
• Rougelsum: 0.1404
• Gen Len: 19.0

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: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	3	3.5538	0.2105	0.0893	0.1754	0.1754	19.0
No log	2.0	6	3.4762	0.2105	0.0893	0.1404	0.1404	19.0
No log	3.0	9	3.4302	0.2105	0.0893	0.1404	0.1404	19.0
No log	4.0	12	3.4021	0.2105	0.0893	0.1404	0.1404	19.0

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0