README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - xsum
metrics:
  - rouge
model-index:
  - name: fine-tune-Pegasus
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: xsum
          type: xsum
          args: default
        metrics:
          - name: Rouge1
            type: rouge
            value: 17.993

fine-tune-Pegasus

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

• Loss: 2.3242
• Rouge1: 17.993
• Rouge2: 2.9392
• Rougel: 12.313
• Rougelsum: 13.3091
• Gen Len: 67.0552

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: 6.35e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 500
• num_epochs: 1.0
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.16.2
• Pytorch 1.10.1
• Datasets 1.17.0
• Tokenizers 0.10.3