README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - samsum
metrics:
  - rouge
base_model: google/pegasus-x-base
model-index:
  - name: pegasus-x-base-finetuned-samsum
    results:
      - task:
          type: text2text-generation
          name: Sequence-to-sequence Language Modeling
        dataset:
          name: samsum
          type: samsum
          config: samsum
          split: validation
          args: samsum
        metrics:
          - type: rouge
            value: 43.0253
            name: Rouge1

pegasus-x-base-finetuned-samsum

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

• Loss: 1.7441
• Rouge1: 43.0253
• Rouge2: 20.9504
• Rougel: 36.3838
• Rougelsum: 39.2974
• Gen Len: 17.6797

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: 1e-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
1.9353	1.0	7366	1.7441	43.0253	20.9504	36.3838	39.2974	17.6797

Framework versions

• Transformers 4.27.4
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3