README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - aeslc
metrics:
  - rouge
model-index:
  - name: pegasus-large-finetuned-aeslc-test
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: aeslc
          type: aeslc
          config: default
          split: test
          args: default
        metrics:
          - name: Rouge1
            type: rouge
            value: 32.3073

pegasus-large-finetuned-aeslc-test

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

• Loss: 3.1200
• Rouge1: 32.3073
• Rouge2: 17.5238
• Rougel: 31.3366
• Rougelsum: 31.3175
• Gen Len: 11.6343

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: 2
• eval_batch_size: 2
• 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
3.3149	1.0	7218	3.1200	32.3073	17.5238	31.3366	31.3175	11.6343

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3