README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - samsum
metrics:
  - rouge
model-index:
  - name: pegasus-large-finetuned-samsum-test
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: samsum
          type: samsum
          config: samsum
          split: test
          args: samsum
        metrics:
          - name: Rouge1
            type: rouge
            value: 51.4013

pegasus-large-finetuned-samsum-test

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

• Loss: 1.3835
• Rouge1: 51.4013
• Rouge2: 27.1012
• Rougel: 43.4218
• Rougelsum: 47.1203
• Gen Len: 20.6996

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: 0.0002
• 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
1.4761	1.0	7366	1.3835	51.4013	27.1012	43.4218	47.1203	20.6996

Framework versions

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