README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - cnn_dailymail
metrics:
  - rouge
model-index:
  - name: flan-t5-large
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: cnn_dailymail
          type: cnn_dailymail
          config: 3.0.0
          split: test
          args: 3.0.0
        metrics:
          - name: Rouge1
            type: rouge
            value: 43.1919

flan-t5-large

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

• Loss: 1.3826
• Rouge1: 43.1919
• Rouge2: 20.634
• Rougel: 30.3172
• Rougelsum: 40.0097
• Gen Len: 94.6171

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: 192
• eval_batch_size: 192
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• total_train_batch_size: 384
• total_eval_batch_size: 384
• 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
1.653	1.0	748	1.4147	42.4138	19.9824	29.549	39.2091	100.5338
1.5924	2.0	1496	1.3920	42.8582	20.3835	30.1212	39.7493	94.9760
1.5231	3.0	2244	1.3826	43.1919	20.634	30.3172	40.0097	94.6171

Framework versions

• Transformers 4.26.0
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.13.2