metadata

license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: t5-small-finetuned-xsum-finetuned-billsum
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation

t5-small-finetuned-xsum-finetuned-billsum

This model is a fine-tuned version of Frederick0291/t5-small-finetuned-xsum on an unknown dataset.

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: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	330	1.8540	32.9258	14.9104	27.1067	27.208	18.8437

Framework versions

Transformers 4.10.2
Pytorch 1.9.0+cu102
Datasets 1.12.1
Tokenizers 0.10.3