metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - cnn_dailymail
metrics:
  - rouge
model-index:
  - name: flan-t5-xl
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: cnn_dailymail
          type: cnn_dailymail
          config: 3.0.0
          split: validation
          args: 3.0.0
        metrics:
          - name: Rouge1
            type: rouge
            value: 45.1318

flan-t5-xl

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

Loss: 1.2648
Rouge1: 45.1318
Rouge2: 22.2773
Rougel: 31.9084
Rougelsum: 42.0558
Gen Len: 94.2332

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: 0.0001
train_batch_size: 24
eval_batch_size: 24
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 96
total_eval_batch_size: 96
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
1.4352	1.0	2991	1.2645	43.8582	21.2227	30.7038	40.761	101.9968
1.3198	2.0	5982	1.2525	44.4594	21.8174	31.4304	41.4563	94.0733
1.2151	3.0	8973	1.2648	45.1318	22.2773	31.9084	42.0558	94.2332

Framework versions

Transformers 4.27.1
Pytorch 2.0.0
Datasets 2.10.1
Tokenizers 0.13.2