metadata

license: apache-2.0
base_model: google/flan-t5-large
tags:
  - generated_from_trainer
datasets:
  - billsum
metrics:
  - rouge
model-index:
  - name: T5_large_billsum_fine_tune_base_model_3_epoch
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: billsum
          type: billsum
          config: default
          split: test
          args: default
        metrics:
          - name: Rouge1
            type: rouge
            value: 0.2489

T5_large_billsum_fine_tune_base_model_3_epoch

This model is a fine-tuned version of google/flan-t5-large on the billsum dataset. It achieves the following results on the evaluation set:

Loss: 0.9541
Rouge1: 0.2489
Rouge2: 0.2083
Rougel: 0.2424
Rougelsum: 0.2424
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: 3e-05
train_batch_size: 10
eval_batch_size: 10
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.1242	1.0	1895	0.9894	0.2482	0.2063	0.2411	0.2411	19.0
1.0324	2.0	3790	0.9594	0.2493	0.2082	0.2426	0.2426	19.0
1.0014	3.0	5685	0.9541	0.2489	0.2083	0.2424	0.2424	19.0

Framework versions

Transformers 4.35.0.dev0
Pytorch 1.12.1+cu116
Datasets 2.4.0
Tokenizers 0.14.1