t5small_contracts

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

• Loss: 2.9521
• Rouge1: 0.2926
• Rouge2: 0.1622
• Rougel: 0.2568
• Rougelsum: 0.2549
• Gen Len: 18.4146

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	11	3.3928	0.2931	0.1602	0.2571	0.255	18.5122
No log	2.0	22	3.1343	0.2951	0.1632	0.2593	0.2565	18.4146
No log	3.0	33	3.0073	0.2919	0.1617	0.2563	0.2541	18.4146
No log	4.0	44	2.9521	0.2926	0.1622	0.2568	0.2549	18.4146

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1
• Datasets 2.10.0
• Tokenizers 0.11.0