pandas2002/my_awesome_billsum_model
08
<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
myawesomebillsum_model
This model is a fine-tuned version of t5-small on the pubmed-summarization dataset. It achieves the following results on the evaluation set:
- Loss: 2.3423
- Rouge1: 0.1393
- Rouge2: 0.0556
- Rougel: 0.1172
- Rougelsum: 0.1172
- 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
- trainbatchsize: 16
- evalbatchsize: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: linear
- num_epochs: 2
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2
